Newform data - 1776.2.q.i

Formats: - HTML - YAML - JSON - 2026-05-02T13:19:51.275708

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_largest	boolean
  is_maximal	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 7104, 'analytic_conductor': 14.181431398979397, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 37, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 17, 'char_orbit_label': 'q', 'char_order': 3, 'char_parity': 1, 'char_values': [1776, 3, [223, 1333, 593, 1297], [3, 3, 3, 1]], 'cm_discs': [], 'conrey_index': 433, 'dim': 4, 'field_disc': 12321, 'field_disc_factorization': [[3, 2], [37, 2]], 'field_poly': [81, 9, 10, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [81, 9, 10, -1, 1]], [11, [-7, 3, 1]]], 'hecke_orbit': 9, 'hecke_orbit_code': 36029896564147952, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 37, 3, 1, 3, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1776.2.q.i', 'level': 1776, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 37], 'level_radical': 222, 'minimal_twist': '444.2.i.b', 'nf_label': '4.0.12321.1', 'prim_orbit_index': 3, 'qexp_display': 'q-\\beta _{2}q^{3}+\\beta _{1}q^{5}+3\\beta _{2}q^{7}+(-1+\\beta _{2}+\\cdots)q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c3', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1776.2.q', 'trace_display': [0, -2, 1, 6], 'trace_hash': 139488414219767188, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.829', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '60.588', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1620.917', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.008', 'prec': 17}, 'traces': [4, 0, -2, 0, 1, 0, 6, 0, -2, 0, -6, 0, -1, 0, 1, 0, -6, 0, 5, 0, 6, 0, 14, 0, -9, 0, 4, 0, 16, 0, 4, 0, 3, 0, -3, 0, 0, 0, -1, 0, -11, 0, -38, 0, -2, 0, -16, 0, -4, 0, 12, 0, 16, 0, -20, 0, 5, 0, 17, 0, 6, 0, -12, 0, -18, 0, 5, 0, -7, 0, 12, 0, -16, 0, 18, 0, -9, 0, 17, 0, -2, 0, -4, 0, -6, 0, -8, 0, 10, 0, 3, 0, -2, 0, 16, 0, -2, 0, 3, 0, 14, 0, 14, 0, 6, 0, -8, 0, 17, 0, 0, 0, -2, 0, -15, 0, 2, 0, -36, 0, 2, 0, -11, 0, -36, 0, 0, 0, 19, 0, 6, 0, -15, 0, 1, 0, 70, 0, -8, 0, 8, 0, -17, 0, -33, 0, 8, 0, 6, 0, 16, 0, -6, 0, 38, 0, -3, 0, -32, 0, 21, 0, -12, 0, -20, 0, 16, 0, 7, 0, -10, 0, -23, 0, -54, 0, -34, 0, 18, 0, 18, 0, 6, 0, -74, 0, 9, 0, 6, 0, -32, 0, 22, 0, 36, 0, -4, 0, 90, 0, 5, 0, 24, 0, 24, 0, -7, 0, 11, 0, 28, 0, 12, 0, -28, 0, 6, 0, 8, 0, 6, 0, 54, 0, -9, 0, 12, 0, 29, 0, -9, 0, -8, 0, -41, 0, 17, 0, -33, 0, 2, 0, -2, 0, -4, 0, 21, 0, 8, 0, -94, 0, 16, 0, 3, 0, 33, 0, 0, 0, -8, 0, 29, 0, 90, 0, -20, 0, -34, 0, 5, 0, -6, 0, 32, 0, 1, 0, -2, 0, -26, 0, -19, 0, -32, 0, 33, 0, 16, 0, 1, 0, -14, 0, -20, 0, -6, 0, -22, 0, -57, 0, -7, 0, 34, 0, -72, 0, -7, 0, -16, 0, -10, 0, -3, 0, -1, 0, 50, 0, -8, 0, -30, 0, -28, 0, -34, 0, -24, 0, 35, 0, 0, 0, -21, 0, -42, 0, 4, 0, -80, 0, 60, 0, -15, 0, -32, 0, -8, 0, -1, 0, -20, 0, -6, 0, 18, 0, 58, 0, 7, 0, -1, 0, 70, 0, 5, 0, 22, 0, 96, 0, 14, 0, 18, 0, -41, 0, -54, 0, 0, 0, -27, 0, 60, 0, 19, 0, 10, 0, -21, 0, -12, 0, -27, 0, -122, 0, 30, 0, 98, 0, 36, 0, 1, 0, 37, 0, -42, 0, -35, 0, 102, 0, -152, 0, 16, 0, 50, 0, 26, 0, 8, 0, -27, 0, -18, 0, -17, 0, -21, 0, 2, 0, -33, 0, 36, 0, -22, 0, -4, 0, 38, 0, -64, 0, -3, 0, 7, 0, 35, 0, 16, 0, -108, 0, 44, 0, -6, 0, 13, 0, -7, 0, 38, 0, 42, 0, -15, 0, 6, 0, 94, 0, -8, 0, 16, 0, -44, 0, -74, 0, 21, 0, -93, 0, 88, 0, 24, 0, 28, 0, -24, 0, 40, 0, -36, 0, -3, 0, 16, 0, 41, 0, 22, 0, -14, 0, 30, 0, -24, 0, 5, 0, 59, 0, 98, 0, 46, 0, -12, 0, 14, 0, 27, 0, -6, 0, -6, 0, 17, 0, 13, 0, 4, 0, -9, 0, 6, 0, 138, 0, 18, 0, -94, 0, 10, 0, -12, 0, 57, 0, -51, 0, 37, 0, -71, 0, -9, 0, -18, 0, -64, 0, -76, 0, 6, 0, -24, 0, 54, 0, 16, 0, -13, 0, -24, 0, -11, 0, -24, 0, -61, 0, -18, 0, -2, 0, -32, 0, 8, 0, 42, 0, -9, 0, -45, 0, -22, 0, -18, 0, -10, 0, 56, 0, -66, 0, 24, 0, -33, 0, 44, 0, -48, 0, -9, 0, -92, 0, 14, 0, 60, 0, 36, 0, 11, 0, 0, 0, 39, 0, -14, 0, -148, 0, 4, 0, -24, 0, -26, 0, -48, 0, -28, 0, 59, 0, -7, 0, 6, 0, -28, 0, -68, 0, 8, 0, -10, 0, -16, 0, -3, 0, 96, 0, 130, 0, -27, 0, 28, 0, -13, 0, -9, 0, 48, 0, -3, 0, 12, 0, -5, 0, 36, 0, 29, 0, 58, 0, -7, 0, 18, 0, -8, 0, 66, 0, 4, 0, 48, 0, 74, 0, -41, 0, 21, 0, 20, 0, -34, 0, -60, 0, 27, 0, 66, 0, 66, 0, 21, 0, 2, 0, 1, 0, -23, 0, 4, 0, 57, 0, -41, 0, 2, 0, -26, 0, 44, 0, -42, 0, -39, 0, -54, 0, -4, 0, 24, 0, -70, 0, 47, 0, -45, 0, -34, 0, -8, 0, -66, 0, 102, 0, 3, 0, -54, 0, -112, 0, -66, 0, -12, 0, -46, 0, 0, 0, 9, 0, -18, 0, 16, 0, -188, 0, 8, 0, 29, 0, -12, 0, 40, 0, -45, 0, 39, 0, 24, 0, 10, 0, -124, 0, 45, 0, 17, 0, -12, 0, 68, 0, -10, 0, 62, 0, -29, 0, 3, 0, -44, 0, 14, 0, -64, 0, 34, 0, 39, 0, 1, 0, -12, 0, 29, 0, 4, 0, 62, 0, 96, 0, 52, 0, 44, 0, 3, 0, -19, 0, 37, 0, -45, 0, 16, 0, 158, 0, 68, 0, -66, 0, 69, 0, -134, 0, 16, 0, -44, 0, -16, 0, 1, 0, -54, 0, 122, 0, -14, 0, 54, 0, -80, 0, 10, 0, -198, 0, 0, 0, 3, 0, 17, 0, 60, 0, -22, 0, -132, 0, 48, 0, -57, 0, -46, 0, 4, 0, -7, 0, 52, 0, 80, 0, -68, 0, 36, 0, -190, 0, 36, 0, 6, 0, -37, 0, -7, 0, -43, 0, -20, 0, 32, 0, 120, 0, 11, 0, 20, 0, 56, 0, -20, 0, -3, 0, -56, 0, 78, 0, 2, 0, -60, 0, 29, 0, -25, 0, 105, 0, 28, 0, 16, 0, 98, 0, -60, 0, 15, 0, -26, 0, -48, 0, 14, 0, -59, 0, 22, 0, 17, 0, -8, 0, -78, 0, -24, 0, -96, 0, -52, 0, -70, 0, 41, 0, 24, 0, 0, 0, 51, 0, 51, 0, 42, 0, 6, 0, -8, 0, -42, 0, -96, 0, 99, 0, -2, 0, -44, 0, -72, 0, 40, 0, 136, 0, -10, 0, -30, 0, 50, 0, 32, 0, 30, 0, -36, 0, -23, 0, 16, 0, 9, 0, 13, 0, 16, 0, -34, 0, -12, 0, -1, 0, 81, 0, -48, 0, 40, 0, -33, 0, -28, 0, 12, 0, 188, 0, 51, 0, 18, 0, 74, 0, 104, 0, -29, 0, -144, 0, 18, 0, -14, 0, -114, 0, 102, 0, -1, 0, -42, 0, 30, 0, 70, 0, 40, 0, -18, 0, 5, 0, 72, 0, -54, 0, -11, 0, 216, 0, -58, 0, -48, 0, -5, 0, -2, 0, 14, 0, 122, 0, 34, 0, 18, 0, -14, 0, -5, 0, -41, 0, -132, 0, 105, 0, 108, 0, -30, 0, -72, 0, 0, 0, 4, 0, -74, 0, -27, 0, -12, 0, 172, 0, -120, 0, -84, 0, -52, 0, -38, 0, 13, 0, 35, 0, 10, 0, -48, 0, 71, 0, 42, 0, 73, 0, 12, 0, 6, 0, -39, 0, 42, 0, 54, 0, -38, 0, -7, 0, 61, 0, 26, 0, -70, 0, -15, 0, 30, 0, 60, 0, -49, 0, -1, 0, -72, 0, 36, 0, -138, 0, -10, 0, -2, 0, -7, 0, 19, 0, -74, 0, -58, 0, -18, 0, 84, 0, -144, 0, 4, 0, -35, 0, -90, 0, -50, 0, -51, 0, 24, 0, 40, 0, 76, 0, -78, 0, 79, 0, -8, 0, 27, 0, -5, 0, -100, 0, -18, 0, -92, 0, -13, 0, -33, 0, -54, 0, -16, 0, -48, 0, 6, 0, -27, 0, -34, 0, 4, 0, 36, 0, -7, 0, 70, 0, 34, 0, 24, 0, 18, 0, -21, 0, -111, 0, -38, 0, -1, 0, 16, 0, -220, 0, 66, 0, 96, 0, 54, 0, 36, 0, 15, 0, 78, 0, -22, 0, 21, 0, 36, 0, -4, 0, 109, 0, 78, 0, -19, 0, -48, 0, -112, 0, 32, 0, -48, 0, 52, 0, -3, 0, -102, 0, -64, 0, 7, 0, -30, 0, 33, 0, 35, 0, 264, 0, 78, 0, -32, 0, -62, 0, 84, 0, 54, 0, -18, 0, -74, 0, 44, 0, -38, 0, 54, 0, 12, 0, -24, 0, 8, 0, -26, 0, 129, 0, -94, 0, -7, 0, -4, 0, 135, 0, -76, 0, 74, 0, 54, 0, -21, 0, 58, 0, -174, 0, 30, 0, 92, 0, -12, 0, -3, 0, 65, 0, -128, 0, -47, 0, -16, 0, 10, 0, 4, 0, 72, 0, -76, 0, 16, 0, -136, 0, 144, 0, 88, 0, 63, 0, 28, 0, 37, 0, -8, 0, -6, 0, -42, 0, 118, 0, 42, 0, -93, 0, -164, 0, -57, 0, -44, 0, -33, 0, -104, 0, -12, 0, -72, 0, 6, 0, -14, 0, 58, 0, 42, 0, 48, 0, -2, 0, -80, 0, -20, 0, -14, 0, -31, 0, 72, 0, 9, 0, -63, 0, -3, 0, 18, 0, -24, 0, -32, 0, 84, 0, -142, 0, -82, 0, -226, 0, 30, 0, 22, 0, 74, 0, -4, 0, 7, 0, -182, 0, 20, 0, -60, 0, 12, 0, -124, 0, -24, 0, 19, 0, -10, 0, 5, 0, -1, 0, -152, 0, 59, 0, 9, 0, 22, 0, -49, 0, 120, 0, 132, 0, -23, 0, -27, 0, 81, 0, -12, 0, 286, 0, 15, 0, 14, 0, 18, 0, 55, 0, 27, 0, 128, 0, 22, 0, 12, 0, 146, 0, -38, 0, 3, 0, -36, 0, 37, 0, 17, 0, -6, 0, -156, 0, -26, 0, -170, 0, -87, 0, -8, 0, -5, 0, -1, 0, -9, 0, 6, 0, 48, 0, -12, 0, 6, 0, 73, 0, -69, 0, 9, 0, -44, 0, -36, 0, -12, 0, 42, 0, 47, 0, -6, 0, 102, 0, -5, 0, 90, 0, 123, 0, 6, 0, 3, 0, -148, 0, 57, 0, 146, 0, 172, 0, 102, 0, -61, 0, 16, 0, 37, 0, 6, 0, -15, 0, 142, 0, -198, 0, -82, 0, -9, 0, -204, 0, 3, 0, 9, 0, 21, 0, -6, 0, 32, 0, 124, 0, -50, 0, 38, 0, -4, 0, -7, 0, -12, 0, -80, 0, -94, 0, 12, 0, 31, 0, 105, 0, -108, 0, 15, 0, -21, 0, 16, 0, -85, 0, -45, 0, 26, 0, 97, 0, 126, 0, 48, 0, -62, 0, 66, 0, -11, 0, 74, 0, -18, 0, 12, 0, 214, 0, -92, 0, 122, 0, -21, 0, -128, 0, -18, 0, -141, 0, 3, 0, -2, 0, 123, 0, -168, 0, -32, 0, 98, 0, 24, 0, -4, 0, -108, 0, -70, 0, -21, 0, 1, 0, -7, 0, -9, 0, -74, 0, 17, 0, -45, 0, -19, 0, -115, 0, -22, 0, 198, 0, -95, 0, 36, 0, 192, 0, 8, 0, 5, 0, -96, 0, 0, 0, 56, 0, 41, 0, 48, 0, 132, 0, 124, 0, -38, 0, -48, 0, -20, 0, 14, 0, -33, 0, -206, 0, 13, 0, -88, 0, -87, 0, 90, 0, 24, 0, 23, 0, 226, 0, 18, 0, 51, 0, 135, 0, 46, 0, -29, 0, -100, 0, -7, 0, -118, 0, -22, 0, -30, 0, 29, 0, -24, 0, 36, 0, 12, 0, 136, 0, -22, 0, -51, 0, -72, 0, 0, 0, -14, 0, -68, 0, -78, 0, 20, 0, 30, 0, -14, 0, -150, 0, 90, 0, 74, 0, 9, 0, 60, 0, -2, 0, -78, 0, -5, 0, 12, 0, -1, 0, -6, 0, 52, 0, 192, 0, 81, 0, 24, 0, 28, 0, 126, 0, 56, 0, -57, 0, -3, 0, 59, 0, -17, 0, 143, 0, 14, 0, 26, 0, -78, 0, -12, 0, 90, 0, -38, 0, -28, 0, 74, 0, -29, 0, 34, 0, -156, 0, -138, 0, -16, 0, -24, 0, -190, 0, -10, 0, 95, 0, 57, 0, -16, 0, -49, 0, 40, 0, -3, 0, -64, 0, 37, 0, -48, 0, 12, 0, -178, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1, 0, 0, 0], [0, 0, 0, 0], [0, 0, -1, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 0, 0, 0], [0, 0, 3, 0], [0, 0, 0, 0], [-1, 0, 1, 0], [0, 0, 0, 0], [-2, 0, 0, 1], [0, 0, 0, 0], [0, 1, -1, 0], [0, 0, 0, 0], [1, -1, 0, -1], [0, 0, 0, 0], [-3, 0, 3, 0], [0, 0, 0, 0], [0, -1, 3, 0], [0, 0, 0, 0], [3, 0, -3, 0], [0, 0, 0, 0], [3, 0, 0, 1], [0, 0, 0, 0], [-5, 1, 4, 1], [0, 0, 0, 0], [1, 0, 0, 0], [0, 0, 0, 0], [3, 0, 0, 2], [0, 0, 0, 0], [2, 0, 0, -2], [0, 0, 0, 0], [0, 1, 1, 0], [0, 0, 0, 0], [-3, 3, 0, 3], [0, 0, 0, 0], [-1, 2, -1, 2], [0, 0, 0, 0], [0, -1, 1, -1], [0, 0, 0, 0], [0, -1, -5, 0], [0, 0, 0, 0], [-10, 0, 0, 1], [0, 0, 0, 0], [-1, 0, 0, 1], [0, 0, 0, 0], [-5, 0, 0, 2], [0, 0, 0, 0], [-2, 0, 2, 0], [0, 0, 0, 0], [3, 0, 0, 0], [0, 0, 0, 0], [9, -2, -7, -2], [0, 0, 0, 0], [0, -2, -9, 0], [0, 0, 0, 0], [2, 1, -3, 1], [0, 0, 0, 0], [8, 1, -9, 1], [0, 0, 0, 0], [0, -2, 4, 0], [0, 0, 0, 0], [-3, 0, 0, 0], [0, 0, 0, 0], [-9, 0, 9, 0], [0, 0, 0, 0], [0, 1, 2, 0], [0, 0, 0, 0], [0, 1, -4, 0], [0, 0, 0, 0], [0, 0, 6, 0], [0, 0, 0, 0], [-2, 0, 0, -4], [0, 0, 0, 0], [5, 0, 0, -1], [0, 0, 0, 0], [0, -3, -3, 0], [0, 0, 0, 0], [0, 1, 8, 0], [0, 0, 0, 0], [0, 0, -1, 0], [0, 0, 0, 0], [-4, 4, 0, 4], [0, 0, 0, 0], [-3, 0, 0, 3], [0, 0, 0, 0], [0, 2, -5, 0], [0, 0, 0, 0], [4, 2, -6, 2], [0, 0, 0, 0], [0, 3, -3, 3], [0, 0, 0, 0], [0, -2, 0, 0], [0, 0, 0, 0], [7, 2, -9, 2], [0, 0, 0, 0], [-3, 0, 0, 5], [0, 0, 0, 0], [2, -1, -1, -1], [0, 0, 0, 0]], 'ap': [[0, 0, 0, 0], [0, 0, -1, 0], [0, 1, 0, 0], [0, 0, 3, 0], [-2, 0, 0, 1], [0, 1, -1, 0], [-3, 0, 3, 0], [0, -1, 3, 0], [3, 0, 0, 1], [3, 0, 0, 2], [2, 0, 0, -2], [-1, 2, -1, 2], [0, -1, -5, 0], [-10, 0, 0, 1], [-5, 0, 0, 2], [9, -2, -7, -2], [8, 1, -9, 1], [0, -2, 4, 0], [0, 1, 2, 0], [0, 0, 6, 0], [-2, 0, 0, -4], [0, 1, 8, 0], [-4, 4, 0, 4], [4, 2, -6, 2], [-3, 0, 0, 5], [4, 0, 0, -1], [5, 0, 0, -3], [0, 0, -4, 0], [7, 3, -10, 3], [-2, 2, 0, 2], [-2, 4, -2, 4], [2, 2, -4, 2], [18, 0, 0, -1], [-4, 0, 4, 0], [0, 0, 0, 3], [0, 2, 7, 0], [-4, 5, -1, 5], [-5, -2, 7, -2], [0, -2, 9, 0], [-13, 3, 10, 3], [6, 0, 0, -3], [0, 2, 8, 0], [-7, 0, 0, -2], [8, 0, 0, -5], [-3, 2, 1, 2], [23, 0, 0, -1], [9, 0, 0, -4], [13, 0, 0, 1], [0, -6, 9, 0], [0, -1, 15, 0], [-1, 0, 0, -2], [-17, 1, 16, 1], [0, 0, 1, 0], [-23, 0, 0, -1], [17, -1, -16, -1], [0, -5, 17, 0], [-10, 0, 0, 3], [6, -7, 1, -7], [0, -7, 4, 0], [-15, 4, 11, 4], [0, -3, -8, 0], [0, 6, -10, 0], [-17, 0, 0, -2], [-6, -4, 10, -4], [-1, -8, 9, -8], [-1, 1, 0, 1], [19, -3, -16, -3], [0, 0, -21, 0], [-6, 0, 0, -4], [-1, -6, 7, -6], [-12, 4, 8, 4], [11, 0, 0, 7], [0, 11, -3, 0], [0, 6, 4, 0], [-26, -2, 28, -2], [0, 1, -14, 0], [0, -8, 9, 0], [-31, 0, 0, 1], [27, 0, 0, -5], [-21, 0, 21, 0], [23, 4, -27, 4], [5, 0, 0, 3], [0, 5, -13, 0], [0, 0, 0, 1], [0, -6, -8, 0], [6, 0, 0, 7], [0, -11, 9, 0], [0, -2, 23, 0], [4, 5, -9, 5], [0, 3, -5, 0], [9, 0, 0, 3], [-19, -6, 25, -6], [23, 0, 0, -2], [9, 0, 0, -4], [0, 3, -3, 0], [23, -5, -18, -5], [15, 0, -15, 0], [0, 6, -9, 0], [0, -8, 11, 0], [33, 0, 0, 3], [3, 0, 0, -1], [-35, -1, 36, -1], [-16, 0, 0, 0], [-1, 0, 0, -10], [30, -6, -24, -6], [-13, 2, 11, 2], [0, 8, -5, 0], [16, 0, 0, -11], [0, -6, -8, 0], [-13, 8, 5, 8], [-35, 4, 31, 4], [19, 6, -25, 6], [-8, 7, 1, 7], [-19, 0, 0, -8], [19, 1, -20, 1], [-10, -6, 16, -6], [-11, 0, 0, -2], [0, 3, 28, 0], [0, 10, -19, 0], [0, 12, -11, 0], [0, -8, -4, 0], [0, -1, -6, 0], [17, 0, 0, -10], [-3, 1, 2, 1], [-4, 1, 3, 1], [26, -4, -22, -4], [3, 0, 0, 4], [33, 0, -33, 0], [0, 3, -13, 0], [0, -5, -18, 0], [11, 0, 0, 0], [0, -3, -18, 0], [-14, 0, 0, -7], [-22, 10, 12, 10], [-32, -2, 34, -2], [-25, 0, 0, -6], [0, 14, -13, 0], [5, 0, 0, -6], [22, -5, -17, -5], [0, -6, -3, 0], [0, 4, 32, 0], [0, -8, -18, 0], [6, 2, -8, 2], [0, 6, 14, 0], [22, -5, -17, -5], [31, 0, -31, 0], [-17, -11, 28, -11], [37, 0, 0, 5], [14, 0, 0, 6], [36, -3, -33, -3], [31, 0, 0, -1], [0, 6, 24, 0], [0, -2, -39, 0], [-49, 0, 0, -1], [0, 0, 2, 0], [13, 0, 0, 0], [-49, 0, 0, 3], [0, -3, -20, 0], [13, -15, 2, -15], [24, 8, -32, 8], [-27, -2, 29, -2], [-28, -4, 32, -4], [0, 4, -32, 0], [-9, -8, 17, -8], [-33, 7, 26, 7], [-3, -2, 5, -2], [-19, 0, 0, 12], [9, 6, -15, 6], [-4, 0, 0, 4], [-21, 0, 0, -6], [-23, 2, 21, 2], [-34, -4, 38, -4], [0, -8, 29, 0], [0, -12, 22, 0], [0, 7, -15, 0], [0, -8, -13, 0], [-2, -8, 10, -8], [-18, 3, 15, 3], [-8, 0, 0, 2], [0, 1, 25, 0], [25, 0, 0, 1], [0, 0, -21, 0], [15, 0, -15, 0], [0, 4, 18, 0], [0, 6, 33, 0], [54, 0, 0, 0], [0, 12, -7, 0], [0, 12, 11, 0], [0, -5, 0, 0], [0, -6, -3, 0], [43, 0, 0, 0], [7, -1, -6, -1], [0, 5, 33, 0], [0, 7, -23, 0], [0, 10, -24, 0], [11, 4, -15, 4], [34, -8, -26, -8], [-2, 0, 0, -1], [0, 5, -6, 0], [-27, -4, 31, -4], [-36, 0, 0, 0], [4, 0, 0, -6], [-19, -12, 31, -12], [35, 9, -44, 9], [1, 0, 0, -11], [0, 12, -23, 0], [-1, 6, -5, 6], [2, -11, 9, -11], [1, 0, 0, 10], [0, -12, 15, 0], [-22, 6, 16, 6], [14, 0, 0, -20], [-53, 0, 0, -4], [48, 0, -48, 0], [0, -3, 12, 0], [8, 0, 0, 2], [0, -4, 41, 0], [-21, 0, 0, 11], [-4, -10, 14, -10], [0, 8, -23, 0], [8, -8, 0, -8], [0, -10, 32, 0], [0, -6, 49, 0], [9, -8, -1, -8], [39, -6, -33, -6], [-14, 0, 0, -10], [-35, 0, 0, 2], [0, -3, 33, 0], [0, -2, -2, 0], [32, 0, 0, -5], [13, 0, 0, -5], [-28, -1, 29, -1], [2, 2, -4, 2], [-9, 0, 0, 17], [0, 6, -43, 0], [0, 8, -11, 0], [-8, -15, 23, -15], [0, 15, -3, 0], [0, -6, 12, 0], [-57, 0, 0, 1], [-43, 0, 0, -5], [-37, 0, 0, 12], [-37, 0, 0, -2], [0, -10, 16, 0], [36, 0, 0, -12], [0, -15, -6, 0], [0, 13, 1, 0], [0, 18, -18, 18], [15, -8, -7, -8], [42, 0, 0, -11], [-38, 0, 0, -2], [-41, 0, 0, -3], [-3, 1, 2, 1], [0, 15, -8, 0], [5, -4, -1, -4], [-4, 14, -10, 14], [0, -3, 38, 0], [-9, 0, 0, -4], [8, -22, 14, -22], [44, 0, 0, -2], [6, 4, -10, 4], [1, 4, -5, 4], [0, -1, -7, 0], [-28, 6, 22, 6], [0, 10, -7, 0], [0, 5, -6, 0], [0, -21, 26, 0], [0, -3, -41, 0], [-22, -1, 23, -1], [-22, 0, 0, 13], [-6, -6, 12, -6], [-16, 0, 0, -14], [-35, 0, 0, 6], [5, -7, 2, -7], [-25, 0, 0, 15], [0, 9, -8, 0], [-15, 0, 0, -7], [0, -3, 10, 0], [-48, 1, 47, 1], [-48, 0, 48, 0], [29, 0, 0, 4], [0, -14, 14, 0], [0, 5, 9, 0], [-19, 0, 0, -12], [-1, -20, 21, -20], [10, 9, -19, 9], [-11, 0, 0, 10], [11, 0, 0, -16], [38, 0, 0, -8], [-7, 0, 7, 0], [-36, 0, 0, -3], [7, -5, -2, -5], [-21, 0, 0, 3], [0, -14, 21, 0], [65, -4, -61, -4], [6, 14, -20, 14], [-29, 0, 0, 19], [-18, 12, 6, 12], [0, 7, 44, 0], [10, 0, 0, 0], [0, -7, 22, 0], [3, 0, 0, 0], [-48, 0, 0, 7]], 'char_orbit_index': 17, 'field_poly': [81, 9, 10, -1, 1], 'hecke_orbit_code': 36029896564147952, 'hecke_ring_character_values': [[223, [1, 0, 0, 0]], [1333, [1, 0, 0, 0]], [593, [1, 0, 0, 0]], [1297, [0, 0, -1, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1, 90, 10], 'hecke_ring_inverse_denominators': [1, 1, 1, 1], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0], [0, 1, 0, 0], [-10, 1, 9, 1], [-19, 0, 0, 10]], 'hecke_ring_numerators': [[1, 0, 0, 0], [0, 1, 0, 0], [81, -10, 10, -1], [19, 0, 0, 1]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 4, 'label': '1776.2.q.i', 'level': 1776, 'maxp': 1999, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 7104, 'analytic_conductor': 14.181431398979397, 'char_conductor': 37, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 17, 'char_orbit_label': 'q', 'char_order': 3, 'char_parity': 1, 'char_values': [1776, 3, [223, 1333, 593, 1297], [3, 3, 3, 1]], 'conrey_index': 433, 'cusp_dim': 584, 'dim': 76, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 11], 'hecke_orbit_code': 1099545183984, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 4, 4, 6, 6, 6, 6, 6, 6, 8, 10], 'label': '1776.2.q', 'level': 1776, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 37], 'level_radical': 222, 'mf_dim': 632, 'mf_new_dim': 76, 'num_forms': 17, 'prim_orbit_index': 3, 'relative_dim': 38, 'sturm_bound': 608, 'trace_bound': 11, 'trace_display': [0, -2, -2, 6], 'traces': [76, 0, -2, 0, -2, 0, 6, 0, -38, 0, 8, 0, 4, 0, 0, 0, 2, 0, -4, 0, 0, 0, 8, 0, -36, 0, 4, 0, -12, 0, -4, 0, 0, 0, 0, 0, 18, 0, 2, 0, 18, 0, -20, 0, 4, 0, 0, 0, -18, 0, 0, 0, 12, 0, 0, 0, -8, 0, 0, 0, -2, 0, -12, 0, 4, 0, -2, 0, 0, 0, 20, 0, 32, 0, 28, 0, 8, 0, 10, 0, -38, 0, -24, 0, 12, 0, 0, 0, 2, 0, 10, 0, -8, 0, 0, 0, -12, 0, -4, 0, 20, 0, -16, 0, 0, 0, -4, 0, 14, 0, -14, 0, -52, 0, -8, 0, -8, 0, 96, 0, 76, 0, -12, 0, 12, 0, 10, 0, 20, 0, 16, 0, 8, 0, 0, 0, -4, 0, -10, 0, -8, 0, 76, 0, -42, 0, -8, 0, 36, 0, 62, 0, 2, 0, 8, 0, -2, 0, 8, 0, 48, 0, 0, 0, -8, 0, 68, 0, -38, 0, 8, 0, 6, 0, -268, 0, 0, 0, 8, 0, -18, 0, -28, 0, -6, 0, -52, 0, 0, 0, 96, 0, -28, 0, 88, 0, -2, 0, 92, 0, 4, 0, 32, 0, 50, 0, -4, 0, -40, 0, -4, 0, 16, 0, -148, 0, 12, 0, -10, 0, 56, 0, -92, 0, -36, 0, -12, 0, 6, 0, 48, 0, -100, 0, 72, 0, 0, 0, -44, 0, 0, 0, -2, 0, 36, 0, 52, 0, 0, 0, -64, 0, 48, 0, -8, 0, 74, 0, 30, 0, 6, 0, -64, 0, -152, 0, 24, 0, -56, 0, 14, 0, 40, 0, 48, 0, -10, 0, 2, 0, 26, 0, -70, 0, 0, 0, -72, 0, -52, 0, -10, 0, -18, 0, -56, 0, 0, 0, -32, 0, -16, 0, 60, 0, -26, 0, -100, 0, -8, 0, 28, 0, -2, 0, 0, 0, 30, 0, -232, 0, -8, 0, 192, 0, -32, 0, -4, 0, -16, 0, 50, 0, -12, 0, 124, 0, -26, 0, -128, 0, 64, 0, -156, 0, 0, 0, -24, 0, -18, 0, 2, 0, 10, 0, 52, 0, -8, 0, 224, 0, -54, 0, -2, 0, 12, 0, 90, 0, -36, 0, 96, 0, -10, 0, -24, 0, 28, 0, -108, 0, 0, 0, -128, 0, 8, 0, 10, 0, -42, 0, 140, 0, 16, 0, -124, 0, 4, 0, -176, 0, 168, 0, -46, 0, -2, 0, -144, 0, 22, 0, -36, 0, 32, 0, 176, 0, -24, 0, -4, 0, -28, 0, 0, 0, -48, 0, 56, 0, 0, 0, -64, 0, -4, 0, -8, 0, 8, 0, 42, 0, -18, 0, 256, 0, 28, 0, 56, 0, 28, 0, -96, 0, -32, 0, 64, 0, -94, 0, 0, 0, -12, 0, 6, 0, -16, 0, 88, 0, -48, 0, -140, 0, -16, 0, 200, 0, 12, 0, 8, 0, -144, 0, -48, 0, 34, 0, 472, 0, 16, 0, -152, 0, 10, 0, 0, 0, -104, 0, -28, 0, 0, 0, -72, 0, 38, 0, 64, 0, 54, 0, -138, 0, -8, 0, -224, 0, 192, 0, 24, 0, -20, 0, 2, 0, -40, 0, 108, 0, 60, 0, 0, 0, 12, 0, -148, 0, 8, 0, 4, 0, 52, 0, 2, 0, -44, 0, 156, 0, 4, 0, 120, 0, -20, 0, -48, 0, -90, 0, -26, 0, 112, 0, -256, 0, 184, 0, 6, 0, 124, 0, -106, 0, 48, 0, -160, 0, -52, 0, -22, 0, -96, 0, -48, 0, 4, 0, -208, 0, -120, 0, 16, 0, -164, 0, -160, 0, 0, 0, -40, 0, 22, 0, 4, 0, 94, 0, -48, 0, 8, 0, -76, 0, 6, 0, -128, 0, -28, 0, 316, 0, 0, 0, -320, 0, 22, 0, 68, 0, 60, 0, 106, 0, 12, 0, -424, 0, -104, 0, -40, 0, 10, 0, 116, 0, 24, 0, 128, 0, -80, 0, -2, 0, -146, 0, 80, 0, -16, 0, 220, 0, -26, 0, -4, 0, -64, 0, 8, 0, -32, 0, 148, 0, -20, 0, -14, 0, -140, 0, -34, 0, -16, 0, -12, 0, 58, 0, 114, 0, -16, 0, -114, 0, -16, 0, 280, 0, -28, 0, -8, 0, 156, 0, -76, 0, -16, 0, 224, 0, -296, 0, -20, 0, 176, 0, 64, 0, 160, 0, -28, 0, 152, 0, -10, 0, 192, 0, -14, 0, 76, 0, 72, 0, -60, 0, 32, 0, 32, 0, 72, 0, 0, 0, 52, 0, 46, 0, -24, 0, -40, 0, 196, 0, 48, 0, -132, 0, -18, 0, -48, 0, -22, 0, 604, 0, -6, 0, -24, 0, 32, 0, 8, 0, -2, 0, -70, 0, 84, 0, -124, 0, 40, 0, 0, 0, 20, 0, 380, 0, 32, 0, 144, 0, 76, 0, -80, 0, 68, 0, 32, 0, 2, 0, -360, 0, -96, 0, -28, 0, 4, 0, -56, 0, -80, 0, 8, 0, 64, 0, 10, 0, 124, 0, 138, 0, 48, 0, 156, 0, 52, 0, -100, 0, 50, 0, -292, 0, 16, 0, 160, 0, 40, 0, 368, 0, 188, 0, -30, 0, -4, 0, 168, 0, 38, 0, 0, 0, -20, 0, -132, 0, -80, 0, -68, 0, -28, 0, -62, 0, -112, 0, -58, 0, 6, 0, 88, 0, -76, 0, 60, 0, -22, 0, -156, 0, 16, 0, -504, 0, 56, 0, -4, 0, 24, 0, 156, 0, 8, 0, -120, 0, -164, 0, -74, 0, -66, 0, 46, 0, -10, 0, -400, 0, 32, 0, 272, 0, -48, 0, -452, 0, -44, 0, 96, 0, -216, 0, 8, 0, 2, 0, -584, 0, -64, 0, 176, 0, 94, 0, -52, 0, -194, 0, 92, 0, 0, 0, 92, 0, 72, 0, -144, 0, -84, 0, 180, 0, 0, 0, 224, 0, -92, 0, 8, 0, 50, 0, 46, 0, 8, 0, -200, 0, 240, 0, 14, 0, -12, 0, 188, 0, 14, 0, 64, 0, -108, 0, 0, 0, -192, 0, -272, 0, -120, 0, -156, 0, 28, 0, 28, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 810392
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 17, 'source_dim': 4, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '1776.2.q.i', 'source_level': 1776, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '444.2.i.b', 'target_level': 444, 'twist_class_label': '444.2.i.b', 'twist_class_level': 444, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 810393
    {'conductor': 148, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 17, 'source_dim': 4, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '1776.2.q.i', 'source_level': 1776, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '444.2.i.b', 'target_level': 444, 'twist_class_label': '444.2.i.b', 'twist_class_level': 444, 'twisting_char_label': '148.i', 'twisting_char_orbit': 9, 'weight': 2}
  • id: 810394
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 17, 'source_dim': 4, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '1776.2.q.i', 'source_level': 1776, 'target_char_orbit': 10, 'target_dim': 4, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '1332.2.j.d', 'target_level': 1332, 'twist_class_label': '444.2.i.b', 'twist_class_level': 444, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 810395
    {'conductor': 444, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 17, 'source_dim': 4, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '1776.2.q.i', 'source_level': 1776, 'target_char_orbit': 10, 'target_dim': 4, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '1332.2.j.d', 'target_level': 1332, 'twist_class_label': '444.2.i.b', 'twist_class_level': 444, 'twisting_char_label': '444.t', 'twisting_char_orbit': 20, 'weight': 2}
  • id: 810396
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 17, 'source_dim': 4, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '1776.2.q.i', 'source_level': 1776, 'target_char_orbit': 17, 'target_dim': 4, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '1776.2.q.i', 'target_level': 1776, 'twist_class_label': '444.2.i.b', 'twist_class_level': 444, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 810397
    {'conductor': 37, 'degree': 2, 'multiplicity': 1, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 17, 'source_dim': 4, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '1776.2.q.i', 'source_level': 1776, 'target_char_orbit': 17, 'target_dim': 4, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '1776.2.q.i', 'target_level': 1776, 'twist_class_label': '444.2.i.b', 'twist_class_level': 444, 'twisting_char_label': '37.c', 'twisting_char_orbit': 3, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2199225
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 36029896564147952, 'p': 2}
  • id: 2199226
    {'charpoly_factorization': [[[1, 1, 1], 2]], 'hecke_orbit_code': 36029896564147952, 'p': 3}
  • id: 2199227
    {'charpoly_factorization': [[[81, 9, 10, -1, 1], 1]], 'hecke_orbit_code': 36029896564147952, 'p': 5}
  • id: 2199228
    {'charpoly_factorization': [[[9, -3, 1], 2]], 'hecke_orbit_code': 36029896564147952, 'p': 7}
  • id: 2199229
    {'charpoly_factorization': [[[-7, 3, 1], 2]], 'hecke_orbit_code': 36029896564147952, 'p': 11}
  • id: 2199230
    {'charpoly_factorization': [[[81, -9, 10, 1, 1], 1]], 'hecke_orbit_code': 36029896564147952, 'p': 13}
  • id: 2199231
    {'charpoly_factorization': [[[9, 3, 1], 2]], 'hecke_orbit_code': 36029896564147952, 'p': 17}
  • id: 2199232
    {'charpoly_factorization': [[[9, 15, 28, -5, 1], 1]], 'hecke_orbit_code': 36029896564147952, 'p': 19}
  • id: 2199233
    {'charpoly_factorization': [[[3, -7, 1], 2]], 'hecke_orbit_code': 36029896564147952, 'p': 23}
  • id: 2199234
    {'charpoly_factorization': [[[-21, -8, 1], 2]], 'hecke_orbit_code': 36029896564147952, 'p': 29}
  • id: 2199235
    {'charpoly_factorization': [[[-36, -2, 1], 2]], 'hecke_orbit_code': 36029896564147952, 'p': 31}
  • id: 2199236
    {'charpoly_factorization': [[[1369, 0, 37, 0, 1], 1]], 'hecke_orbit_code': 36029896564147952, 'p': 37}
  • id: 2199237
    {'charpoly_factorization': [[[441, 231, 100, 11, 1], 1]], 'hecke_orbit_code': 36029896564147952, 'p': 41}
  • id: 2199238
    {'charpoly_factorization': [[[81, 19, 1], 2]], 'hecke_orbit_code': 36029896564147952, 'p': 43}
  • id: 2199239
    {'charpoly_factorization': [[[-21, 8, 1], 2]], 'hecke_orbit_code': 36029896564147952, 'p': 47}
  • id: 2199240
    {'charpoly_factorization': [[[729, -432, 229, -16, 1], 1]], 'hecke_orbit_code': 36029896564147952, 'p': 53}
  • id: 2199241
    {'charpoly_factorization': [[[3969, -1071, 226, -17, 1], 1]], 'hecke_orbit_code': 36029896564147952, 'p': 59}
  • id: 2199242
    {'charpoly_factorization': [[[784, 168, 64, -6, 1], 1]], 'hecke_orbit_code': 36029896564147952, 'p': 61}
  • id: 2199243
    {'charpoly_factorization': [[[9, 15, 28, -5, 1], 1]], 'hecke_orbit_code': 36029896564147952, 'p': 67}
  • id: 2199244
    {'charpoly_factorization': [[[36, -6, 1], 2]], 'hecke_orbit_code': 36029896564147952, 'p': 71}
  • id: 2199245
    {'charpoly_factorization': [[[-132, 8, 1], 2]], 'hecke_orbit_code': 36029896564147952, 'p': 73}
  • id: 2199246
    {'charpoly_factorization': [[[3969, -1071, 226, -17, 1], 1]], 'hecke_orbit_code': 36029896564147952, 'p': 79}
  • id: 2199247
    {'charpoly_factorization': [[[20736, -576, 160, 4, 1], 1]], 'hecke_orbit_code': 36029896564147952, 'p': 83}
  • id: 2199248
    {'charpoly_factorization': [[[144, 120, 112, -10, 1], 1]], 'hecke_orbit_code': 36029896564147952, 'p': 89}
  • id: 2199249
    {'charpoly_factorization': [[[-231, 1, 1], 2]], 'hecke_orbit_code': 36029896564147952, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 17, 'hecke_orbit': 9, 'label': '1776.2.q.i', 'level': 1776, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 52247041
    {'hecke_orbit_code': 36029896564147952, 'n': 1, 'trace_an': 4}
  • id: 52247042
    {'hecke_orbit_code': 36029896564147952, 'n': 2, 'trace_an': 0}
  • id: 52247043
    {'hecke_orbit_code': 36029896564147952, 'n': 3, 'trace_an': -2}
  • id: 52247044
    {'hecke_orbit_code': 36029896564147952, 'n': 4, 'trace_an': 0}
  • id: 52247045
    {'hecke_orbit_code': 36029896564147952, 'n': 5, 'trace_an': 1}
  • id: 52247046
    {'hecke_orbit_code': 36029896564147952, 'n': 6, 'trace_an': 0}
  • id: 52247047
    {'hecke_orbit_code': 36029896564147952, 'n': 7, 'trace_an': 6}
  • id: 52247048
    {'hecke_orbit_code': 36029896564147952, 'n': 8, 'trace_an': 0}
  • id: 52247049
    {'hecke_orbit_code': 36029896564147952, 'n': 9, 'trace_an': -2}
  • id: 52247050
    {'hecke_orbit_code': 36029896564147952, 'n': 10, 'trace_an': 0}
  • id: 52247051
    {'hecke_orbit_code': 36029896564147952, 'n': 11, 'trace_an': -6}
  • id: 52247052
    {'hecke_orbit_code': 36029896564147952, 'n': 12, 'trace_an': 0}
  • id: 52247053
    {'hecke_orbit_code': 36029896564147952, 'n': 13, 'trace_an': -1}
  • id: 52247054
    {'hecke_orbit_code': 36029896564147952, 'n': 14, 'trace_an': 0}
  • id: 52247055
    {'hecke_orbit_code': 36029896564147952, 'n': 15, 'trace_an': 1}
  • id: 52247056
    {'hecke_orbit_code': 36029896564147952, 'n': 16, 'trace_an': 0}
  • id: 52247057
    {'hecke_orbit_code': 36029896564147952, 'n': 17, 'trace_an': -6}
  • id: 52247058
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  • id: 52247059
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  • id: 52247060
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  • id: 52247061
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  • id: 52247062
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  • id: 52247063
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  • id: 52247064
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  • id: 52247065
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  • id: 52247066
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  • id: 52247067
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  • id: 52247068
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  • id: 52247069
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  • id: 52247070
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  • id: 52247071
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  • id: 52247072
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  • id: 52247073
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  • id: 52247074
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  • id: 52247075
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  • id: 52247076
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  • id: 52247077
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  • id: 52247078
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  • id: 52247079
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  • id: 52247080
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  • id: 52247081
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  • id: 52247082
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  • id: 52247083
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  • id: 52247084
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  • id: 52247085
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  • id: 52247086
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  • id: 52247087
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  • id: 52247088
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  • id: 52247089
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  • id: 52247090
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  • id: 52247091
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  • id: 52247092
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  • id: 52247093
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  • id: 52247094
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  • id: 52247095
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  • id: 52247096
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  • id: 52247097
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  • id: 52247098
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  • id: 52247099
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  • id: 52247100
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  • id: 52247101
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  • id: 52247102
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  • id: 52247103
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  • id: 52247104
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  • id: 52247105
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  • id: 52247106
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  • id: 52247107
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  • id: 52247108
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  • id: 52247109
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  • id: 52247110
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  • id: 52247111
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  • id: 52247112
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  • id: 52247113
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  • id: 52247114
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  • id: 52247115
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  • id: 52247116
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  • id: 52247117
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  • id: 52247118
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  • id: 52247119
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  • id: 52247120
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  • id: 52247121
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  • id: 52247122
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  • id: 52247123
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  • id: 52247124
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  • id: 52247125
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  • id: 52247126
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  • id: 52247127
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  • id: 52247128
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  • id: 52247129
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  • id: 52247130
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  • id: 52247131
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  • id: 52247132
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  • id: 52247133
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  • id: 52247134
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  • id: 52247135
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  • id: 52247136
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  • id: 52247137
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  • id: 52247138
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  • id: 52247139
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  • id: 52247140
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  • id: 52247141
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  • id: 52247142
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  • id: 52247143
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  • id: 52247144
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  • id: 52247145
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  • id: 52247146
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  • id: 52247147
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  • id: 52247148
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  • id: 52247149
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  • id: 52247150
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  • id: 52247151
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  • id: 52247152
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  • id: 52247153
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  • id: 52247154
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  • id: 52247155
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  • id: 52247156
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  • id: 52247157
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  • id: 52247158
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  • id: 52247159
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  • id: 52247160
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  • id: 52247161
    {'hecke_orbit_code': 36029896564147952, 'n': 181, 'trace_an': 18}
  • id: 52247162
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  • id: 52247163
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  • id: 52247164
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  • id: 52247165
    {'hecke_orbit_code': 36029896564147952, 'n': 199, 'trace_an': 90}
  • id: 52247166
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  • id: 52247167
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  • id: 52247168
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  • id: 52247169
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  • id: 52247170
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  • id: 52247171
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  • id: 52247172
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  • id: 52247173
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  • id: 52247174
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  • id: 52247175
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  • id: 52247176
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  • id: 52247177
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  • id: 52247178
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  • id: 52247179
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  • id: 52247180
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  • id: 52247181
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  • id: 52247182
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  • id: 52247183
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  • id: 52247184
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  • id: 52247185
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  • id: 52247186
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  • id: 52247187
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  • id: 52247188
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  • id: 52247189
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  • id: 52247190
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  • id: 52247191
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  • id: 52247192
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  • id: 52247193
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  • id: 52247194
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  • id: 52247195
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  • id: 52247196
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  • id: 52247197
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  • id: 52247198
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  • id: 52247199
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  • id: 52247200
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  • id: 52247201
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  • id: 52247202
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  • id: 52247203
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  • id: 52247204
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  • id: 52247205
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  • id: 52247206
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  • id: 52247207
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  • id: 52247208
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  • id: 52247209
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  • id: 52247210
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  • id: 52247211
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  • id: 52247212
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  • id: 52247213
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  • id: 52247214
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  • id: 52247215
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  • id: 52247216
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  • id: 52247217
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  • id: 52247218
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  • id: 52247219
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  • id: 52247220
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  • id: 52247221
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  • id: 52247222
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  • id: 52247223
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  • id: 52247224
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  • id: 52247225
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  • id: 52247226
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  • id: 52247227
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  • id: 52247228
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  • id: 52247229
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  • id: 52247230
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  • id: 52247231
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  • id: 52247232
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  • id: 52247233
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  • id: 52247234
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  • id: 52247235
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  • id: 52247236
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  • id: 52247237
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  • id: 52247238
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  • id: 52247239
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  • id: 52247240
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  • id: 52247241
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  • id: 52247242
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  • id: 52247243
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  • id: 52247244
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  • id: 52247245
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  • id: 52247246
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  • id: 52247247
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  • id: 52247248
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  • id: 52247249
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  • id: 52247250
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  • id: 52247251
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  • id: 52247252
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  • id: 52247253
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  • id: 52247254
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  • id: 52247255
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  • id: 52247256
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  • id: 52247257
    {'hecke_orbit_code': 36029896564147952, 'n': 729, 'trace_an': 4}
  • id: 52247258
    {'hecke_orbit_code': 36029896564147952, 'n': 733, 'trace_an': -41}
  • id: 52247259
    {'hecke_orbit_code': 36029896564147952, 'n': 739, 'trace_an': 44}
  • id: 52247260
    {'hecke_orbit_code': 36029896564147952, 'n': 743, 'trace_an': -39}
  • id: 52247261
    {'hecke_orbit_code': 36029896564147952, 'n': 751, 'trace_an': -70}
  • id: 52247262
    {'hecke_orbit_code': 36029896564147952, 'n': 757, 'trace_an': -34}
  • id: 52247263
    {'hecke_orbit_code': 36029896564147952, 'n': 761, 'trace_an': -66}
  • id: 52247264
    {'hecke_orbit_code': 36029896564147952, 'n': 769, 'trace_an': -112}
  • id: 52247265
    {'hecke_orbit_code': 36029896564147952, 'n': 773, 'trace_an': -12}
  • id: 52247266
    {'hecke_orbit_code': 36029896564147952, 'n': 787, 'trace_an': 8}
  • id: 52247267
    {'hecke_orbit_code': 36029896564147952, 'n': 797, 'trace_an': 39}
  • id: 52247268
    {'hecke_orbit_code': 36029896564147952, 'n': 809, 'trace_an': -12}
  • id: 52247269
    {'hecke_orbit_code': 36029896564147952, 'n': 811, 'trace_an': 68}
  • id: 52247270
    {'hecke_orbit_code': 36029896564147952, 'n': 821, 'trace_an': -44}
  • id: 52247271
    {'hecke_orbit_code': 36029896564147952, 'n': 823, 'trace_an': 14}
  • id: 52247272
    {'hecke_orbit_code': 36029896564147952, 'n': 827, 'trace_an': 34}
  • id: 52247273
    {'hecke_orbit_code': 36029896564147952, 'n': 829, 'trace_an': 39}
  • id: 52247274
    {'hecke_orbit_code': 36029896564147952, 'n': 839, 'trace_an': 62}
  • id: 52247275
    {'hecke_orbit_code': 36029896564147952, 'n': 841, 'trace_an': 96}
  • id: 52247276
    {'hecke_orbit_code': 36029896564147952, 'n': 853, 'trace_an': -45}
  • id: 52247277
    {'hecke_orbit_code': 36029896564147952, 'n': 857, 'trace_an': 158}
  • id: 52247278
    {'hecke_orbit_code': 36029896564147952, 'n': 859, 'trace_an': 68}
  • id: 52247279
    {'hecke_orbit_code': 36029896564147952, 'n': 863, 'trace_an': 69}
  • id: 52247280
    {'hecke_orbit_code': 36029896564147952, 'n': 877, 'trace_an': 122}
  • id: 52247281
    {'hecke_orbit_code': 36029896564147952, 'n': 881, 'trace_an': 54}
  • id: 52247282
    {'hecke_orbit_code': 36029896564147952, 'n': 883, 'trace_an': -80}
  • id: 52247283
    {'hecke_orbit_code': 36029896564147952, 'n': 887, 'trace_an': -198}
  • id: 52247284
    {'hecke_orbit_code': 36029896564147952, 'n': 907, 'trace_an': 4}
  • id: 52247285
    {'hecke_orbit_code': 36029896564147952, 'n': 911, 'trace_an': 52}
  • id: 52247286
    {'hecke_orbit_code': 36029896564147952, 'n': 919, 'trace_an': -190}
  • id: 52247287
    {'hecke_orbit_code': 36029896564147952, 'n': 929, 'trace_an': -43}
  • id: 52247288
    {'hecke_orbit_code': 36029896564147952, 'n': 937, 'trace_an': 11}
  • id: 52247289
    {'hecke_orbit_code': 36029896564147952, 'n': 941, 'trace_an': 56}
  • id: 52247290
    {'hecke_orbit_code': 36029896564147952, 'n': 947, 'trace_an': -56}
  • id: 52247291
    {'hecke_orbit_code': 36029896564147952, 'n': 953, 'trace_an': -60}
  • id: 52247292
    {'hecke_orbit_code': 36029896564147952, 'n': 961, 'trace_an': 28}
  • id: 52247293
    {'hecke_orbit_code': 36029896564147952, 'n': 967, 'trace_an': -60}
  • id: 52247294
    {'hecke_orbit_code': 36029896564147952, 'n': 971, 'trace_an': -26}
  • id: 52247295
    {'hecke_orbit_code': 36029896564147952, 'n': 977, 'trace_an': -59}
  • id: 52247296
    {'hecke_orbit_code': 36029896564147952, 'n': 983, 'trace_an': -8}
  • id: 52247297
    {'hecke_orbit_code': 36029896564147952, 'n': 991, 'trace_an': -52}
  • id: 52247298
    {'hecke_orbit_code': 36029896564147952, 'n': 997, 'trace_an': 24}