Embedded newform data - 1776.2.q.m.1009.2

Formats: - HTML - YAML - JSON - 2026-07-21T04:40:58.776640

• 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': 6, 'field_disc': -50898483, 'field_disc_factorization': [[-1, 1], [3, 3], [1373, 2]], 'field_poly': [25, -40, 64, -10, 8, 0, 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, [4, -10, 31, 11, 14, -3, 1]], [11, [20, -21, -1, 1]]], 'hecke_orbit': 13, 'hecke_orbit_code': 54044295073629936, '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.m', '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': '888.2.q.h', 'nf_label': '6.0.50898483.1', 'prim_orbit_index': 3, 'qexp_display': 'q-\\beta _{3}q^{3}+(-\\beta _{1}+\\beta _{3})q^{5}+\\beta _{3}q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '1.2.3.c3', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1776.2.q', 'trace_display': [0, -3, 3, 3], 'trace_hash': 1743004223848632749, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.522', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.401', 'prec': 17}, {'__RealLiteral__': 0, 'data': '119.360', 'prec': 24}, {'__RealLiteral__': 0, 'data': '208.580', 'prec': 24}, {'__RealLiteral__': 0, 'data': '4851.209', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.006', 'prec': 17}, 'traces': [6, 0, -3, 0, 3, 0, 3, 0, -3, 0, 2, 0, 6, 0, 3, 0, 10, 0, -5, 0, 3, 0, 2, 0, -4, 0, 6, 0, 28, 0, 2, 0, -1, 0, -3, 0, 2, 0, 6, 0, -3, 0, 0, 0, -6, 0, 16, 0, 18, 0, -20, 0, -14, 0, 16, 0, -5, 0, -7, 0, -4, 0, -6, 0, -22, 0, 2, 0, -1, 0, -18, 0, -6, 0, 8, 0, 1, 0, -6, 0, -3, 0, 10, 0, 18, 0, -14, 0, 2, 0, -6, 0, -1, 0, 22, 0, 8, 0, -1, 0, 58, 0, -22, 0, 6, 0, -4, 0, 8, 0, 11, 0, 4, 0, 19, 0, -12, 0, 20, 0, 20, 0, -3, 0, -72, 0, -25, 0, 0, 0, -2, 0, 5, 0, 3, 0, 50, 0, 43, 0, -8, 0, 17, 0, -17, 0, -36, 0, -54, 0, 11, 0, 10, 0, 0, 0, 14, 0, 28, 0, 1, 0, -24, 0, 16, 0, 20, 0, 11, 0, 10, 0, 11, 0, -8, 0, 14, 0, 42, 0, -59, 0, -4, 0, 20, 0, 31, 0, 3, 0, 24, 0, -28, 0, 44, 0, 6, 0, 24, 0, 2, 0, 14, 0, 16, 0, -1, 0, 11, 0, -22, 0, -18, 0, 16, 0, 1, 0, 3, 0, 38, 0, -20, 0, -4, 0, 24, 0, 28, 0, 1, 0, 56, 0, -23, 0, -6, 0, 3, 0, 41, 0, -3, 0, 36, 0, 27, 0, -20, 0, -54, 0, -80, 0, -9, 0, -19, 0, -11, 0, -14, 0, -9, 0, -94, 0, -4, 0, -66, 0, -34, 0, 12, 0, -74, 0, -41, 0, -1, 0, 10, 0, -40, 0, -44, 0, 3, 0, -11, 0, -4, 0, -8, 0, -108, 0, 2, 0, 20, 0, 0, 0, -29, 0, -26, 0, 46, 0, 11, 0, -8, 0, -1, 0, -3, 0, 3, 0, -106, 0, -4, 0, 26, 0, -110, 0, -16, 0, 8, 0, 36, 0, -13, 0, 45, 0, 37, 0, -8, 0, 56, 0, 78, 0, 19, 0, 68, 0, -22, 0, 6, 0, -2, 0, -46, 0, -10, 0, -98, 0, 2, 0, -10, 0, -32, 0, 6, 0, 6, 0, -28, 0, 15, 0, 36, 0, -3, 0, 2, 0, 50, 0, -33, 0, -16, 0, 0, 0, -20, 0, -55, 0, 4, 0, -13, 0, 124, 0, -10, 0, -78, 0, 1, 0, 3, 0, 33, 0, 5, 0, -25, 0, -14, 0, 152, 0, -86, 0, -46, 0, -74, 0, -8, 0, 39, 0, 4, 0, 17, 0, -3, 0, 126, 0, -17, 0, -78, 0, 1, 0, 18, 0, -38, 0, -64, 0, 27, 0, 21, 0, -99, 0, 11, 0, -44, 0, 30, 0, 10, 0, -11, 0, -14, 0, 0, 0, -130, 0, -2, 0, -28, 0, 30, 0, 56, 0, -14, 0, 8, 0, 9, 0, 1, 0, 83, 0, 0, 0, 48, 0, 76, 0, 20, 0, -32, 0, 18, 0, -5, 0, 20, 0, 13, 0, 46, 0, -22, 0, -58, 0, -3, 0, -5, 0, -57, 0, -110, 0, -22, 0, -42, 0, 9, 0, 4, 0, 32, 0, 132, 0, -7, 0, 19, 0, 0, 0, -21, 0, 6, 0, 132, 0, -59, 0, 114, 0, 52, 0, 8, 0, -19, 0, 6, 0, 47, 0, -33, 0, 16, 0, -62, 0, 188, 0, -52, 0, 3, 0, -12, 0, -3, 0, -12, 0, 3, 0, 22, 0, 14, 0, 20, 0, -7, 0, -22, 0, 12, 0, 28, 0, -12, 0, -46, 0, 9, 0, -12, 0, -22, 0, -45, 0, -4, 0, 60, 0, -2, 0, 14, 0, -15, 0, -2, 0, -32, 0, 15, 0, -38, 0, 2, 0, 4, 0, -77, 0, 11, 0, -16, 0, 42, 0, 11, 0, -112, 0, 72, 0, 36, 0, 66, 0, 98, 0, 16, 0, -5, 0, -75, 0, 1, 0, -42, 0, -76, 0, 3, 0, 74, 0, 37, 0, -19, 0, 44, 0, 54, 0, 10, 0, 84, 0, -63, 0, -4, 0, -12, 0, 4, 0, 24, 0, 15, 0, 40, 0, 28, 0, -122, 0, -48, 0, -2, 0, 148, 0, -190, 0, -28, 0, 64, 0, 14, 0, -23, 0, 29, 0, 14, 0, 12, 0, -116, 0, -95, 0, -6, 0, -90, 0, -11, 0, 41, 0, 101, 0, -82, 0, 6, 0, -1, 0, -42, 0, -18, 0, -72, 0, 140, 0, -54, 0, -1, 0, -14, 0, 10, 0, 4, 0, 88, 0, 27, 0, 23, 0, -19, 0, 40, 0, -16, 0, 16, 0, -9, 0, -122, 0, -18, 0, 38, 0, -10, 0, -27, 0, 13, 0, 67, 0, 54, 0, 28, 0, 132, 0, 18, 0, -9, 0, 8, 0, -22, 0, 47, 0, -47, 0, 0, 0, 2, 0, -228, 0, -19, 0, 33, 0, 40, 0, 0, 0, 68, 0, -182, 0, -17, 0, -6, 0, 66, 0, 33, 0, 148, 0, -38, 0, 38, 0, -41, 0, -60, 0, -117, 0, 2, 0, -2, 0, 134, 0, -20, 0, -136, 0, 10, 0, -40, 0, 131, 0, -51, 0, 22, 0, -34, 0, 238, 0, -6, 0, -37, 0, 50, 0, -11, 0, -70, 0, 43, 0, -4, 0, -36, 0, 96, 0, -8, 0, -114, 0, -40, 0, 54, 0, 42, 0, -50, 0, -1, 0, -9, 0, -88, 0, 20, 0, -44, 0, 16, 0, 0, 0, 60, 0, -91, 0, -29, 0, -80, 0, 8, 0, 52, 0, -4, 0, 116, 0, -23, 0, -28, 0, -60, 0, 11, 0, 109, 0, -60, 0, 16, 0, 156, 0, 100, 0, 2, 0, -40, 0, 156, 0, -3, 0, 90, 0, -35, 0, -6, 0, -66, 0, -17, 0, 53, 0, 25, 0, -128, 0, 8, 0, -2, 0, -63, 0, -13, 0, -76, 0, 86, 0, 55, 0, -37, 0, 26, 0, 8, 0, 12, 0, 82, 0, 8, 0, 36, 0, -68, 0, -72, 0, -33, 0, 58, 0, 2, 0, -17, 0, 49, 0, -90, 0, 174, 0, -78, 0, 37, 0, 220, 0, 17, 0, 4, 0, 52, 0, 125, 0, -28, 0, 256, 0, -7, 0, -39, 0, -100, 0, -98, 0, -38, 0, 84, 0, 79, 0, -34, 0, -27, 0, 65, 0, 44, 0, -74, 0, -63, 0, 6, 0, 49, 0, -11, 0, 4, 0, 27, 0, 20, 0, 92, 0, 208, 0, -43, 0, -10, 0, -88, 0, -47, 0, 49, 0, 172, 0, 50, 0, -4, 0, 0, 0, 322, 0, -10, 0, 86, 0, -60, 0, -32, 0, 30, 0, 28, 0, 6, 0, -22, 0, 98, 0, -3, 0, 56, 0, -6, 0, 14, 0, -31, 0, 8, 0, 15, 0, 66, 0, -47, 0, 36, 0, 6, 0, -39, 0, -3, 0, -208, 0, -53, 0, -4, 0, -38, 0, -48, 0, -25, 0, -8, 0, -32, 0, -33, 0, -34, 0, 232, 0, 32, 0, -60, 0, -32, 0, 0, 0, -87, 0, -69, 0, -20, 0, -20, 0, -102, 0, 110, 0, 109, 0, -112, 0, -2, 0, 33, 0, 22, 0, 26, 0, -18, 0, 97, 0, -62, 0, 8, 0, -90, 0, 5, 0, 20, 0, -27, 0, 39, 0, -39, 0, -128, 0, 1, 0, 22, 0, -86, 0, -6, 0, -65, 0, -99, 0, -54, 0, 70, 0, 24, 0, -10, 0, 36, 0, -62, 0, -25, 0, 150, 0, -68, 0, 7, 0, -94, 0, -84, 0, -76, 0, -62, 0, -38, 0, 43, 0, 21, 0, -107, 0, 92, 0, -162, 0, 87, 0, 37, 0, 19, 0, 59, 0, 16, 0, -86, 0, -18, 0, 39, 0, -90, 0, -27, 0, -8, 0, -49, 0, 118, 0, -34, 0, -152, 0, -11, 0, -3, 0, -47, 0, -49, 0, -63, 0, -60, 0, 242, 0, 34, 0, -50, 0, 62, 0, -78, 0, 75, 0, 54, 0, 1, 0, -137, 0, 106, 0, 18, 0, -87, 0, 59, 0, 19, 0, -36, 0, -2, 0, 32, 0, 12, 0, -68, 0, 27, 0, -214, 0, -84, 0, 21, 0, 38, 0, -14, 0, -99, 0, -40, 0, 2, 0, -22, 0, 70, 0, 252, 0, 22, 0, -10, 0, 72, 0, 30, 0, 68, 0, -310, 0, -20, 0, 12, 0, 54, 0, 22, 0, 87, 0, -50, 0, -14, 0, 4, 0, 12, 0, 0, 0, -66, 0, 41, 0, 65, 0, -82, 0, -238, 0, 4, 0, 6, 0, 28, 0, 14, 0, 23, 0, 130, 0, -15, 0, 84, 0, -50, 0, -28, 0, -26, 0, 8, 0, -14, 0, 44, 0, 32, 0, -16, 0, -7, 0, 80, 0, 60, 0, -26, 0, 30, 0, -2, 0, 174, 0, -28, 0, 83, 0, -48, 0, -26, 0, 0, 0, -11, 0, 108, 0, -24, 0, -44, 0, -105, 0, -38, 0, -176, 0, -11, 0, -40, 0, -134, 0, 72, 0, 16, 0, -86, 0, -53, 0, -36, 0, 35, 0, -21, 0, -5, 0, 122, 0, 96, 0, -40, 0, -16, 0, 102, 0, -26, 0, -150, 0, -66, 0, 46, 0, -100, 0, 6, 0, 11, 0, -230, 0, -280, 0, 116, 0, 72, 0, 18, 0, -3, 0, 59, 0, -30, 0, -5, 0, 5, 0, -106, 0, -57, 0, 19, 0, 59, 0, 55, 0, 56, 0, 116, 0, 11, 0, -13, 0, -10, 0, -42, 0, 250, 0, -86, 0, 9, 0, -78, 0, 70, 0, 4, 0, -288, 0, -194, 0, -64, 0, 186, 0, -38, 0, -66, 0, -24, 0, 65, 0, -7, 0, -76, 0, -34, 0, -38, 0, -150, 0, -28, 0, 0, 0, -87, 0, 118, 0, -21, 0, 58, 0, -100, 0, -12, 0, -104, 0, -32, 0, -66, 0, -133, 0, 60, 0, 118, 0, 28, 0, 66, 0, -57, 0, 16, 0, 178, 0, -26, 0, 26, 0, 23, 0, -4, 0, 37, 0, -162, 0, -19, 0, 302, 0, -166, 0, -12, 0, 29, 0, -167, 0, -67, 0, 20, 0, 51, 0, 66, 0, 6, 0, 328, 0, 16, 0, 276, 0, -148, 0, 31, 0, -33, 0, -41, 0, -94, 0, 180, 0, -21, 0, 26, 0, -102, 0, -16, 0, -6, 0, -80, 0, 30, 0, 6, 0, 73, 0, 87, 0, 6, 0, 39, 0, 67, 0, -12, 0, -25, 0, -44, 0, -6, 0, -61, 0, 54, 0, -44, 0, -122, 0, 30, 0, 14, 0, -92, 0, -49, 0, -10, 0, 86, 0, 242, 0, 14, 0, -91, 0, -86, 0, -22, 0, -27, 0, -31, 0, 12, 0, -13, 0, -128, 0, 28, 0, -134, 0, -40, 0, 6, 0, -328, 0, 76, 0, 23, 0, 65, 0, 19, 0, 9, 0, -118, 0, 62, 0, -12, 0, 15, 0, -61, 0, -22, 0, -38, 0, -153, 0, 90, 0, 32, 0, 234, 0, 2, 0, 60, 0, 78, 0, 60, 0, 191, 0, -256, 0, 4, 0, 196, 0, 175, 0, -28, 0, -28, 0, 26, 0, -15, 0, 42, 0, 69, 0, 4, 0, 9, 0, -62, 0, 16, 0, -87, 0, -226, 0, -30, 0, 5, 0, -47, 0, 19, 0, -99, 0, 360, 0, -1, 0, 116, 0, 45, 0, -2, 0, 95, 0, -22, 0, -77, 0, 100, 0, 114, 0, -22, 0, -33, 0, 48, 0, 26, 0, 8, 0, 54, 0, -84, 0, 204, 0, -68, 0, 11, 0, 106, 0, 74, 0, 56, 0, 33, 0, 192, 0, -36, 0, -74, 0, 49, 0, -18, 0, -95, 0, 42, 0, -132, 0, -148, 0, 103, 0, -49, 0, -82, 0, -9, 0, -32, 0, -41, 0, 41, 0, -5, 0, 129, 0, 143, 0, 150, 0, -86, 0, 48, 0, -2, 0, 186, 0, 10, 0, -42, 0, -188, 0, 12, 0, 38, 0, 20, 0, -362, 0, -6, 0, -84, 0, 76, 0, 74, 0, 11, 0, 40, 0, 37, 0, 15, 0, -150, 0, -19, 0, 8, 0, -54, 0, -22, 0, -48, 0, 66, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [-0.28867513459481287, -0.5], [0.0, 0.0], [0.07577580138069112, 0.1312475379756049], [0.0, 0.0], [0.18898223650461363, 0.3273268353539886], [0.0, 0.0], [-0.16666666666666666, 0.28867513459481287], [0.0, 0.0], [-1.3757721233701334, 0.0], [0.0, 0.0], [0.18566920611900029, 0.32158849839908676], [0.0, 0.0], [0.043749179325201636, -0.07577580138069112], [0.0, 0.0], [-0.1093592667769303, 0.1894158063361224], [0.0, 0.0], [-0.601147144023868, -1.0412173962742648], [0.0, 0.0], [0.1091089451179962, -0.18898223650461363], [0.0, 0.0], [1.6978242205836738, 0.0], [0.0, 0.0], [0.4885160558502281, -0.8461346290457503], [0.0, 0.0], [0.19245008972987526, 0.0], [0.0, 0.0], [1.8985566107151477, 0.0], [0.0, 0.0], [-0.700783898501684, 0.0], [0.0, 0.0], [0.3971512028856648, 0.6878860616850667], [0.0, 0.0], [-0.028640560835704792, 0.04960690652470805], [0.0, 0.0], [0.18555042617339199, 0.982634743608668], [0.0, 0.0], [0.10719616613302892, -0.18566920611900029], [0.0, 0.0], [0.965662909537174, 1.672577222303174], [0.0, 0.0], [-0.10081990272213444, 0.0], [0.0, 0.0], [-0.05051720092046075, 0.0], [0.0, 0.0], [1.1995995603242153, 0.0], [0.0, 0.0], [0.42857142857142855, -0.7423074889580903], [0.0, 0.0], [0.1262772042240816, 0.0], [0.0, 0.0], [-0.5205662485280723, 0.9016471911561486], [0.0, 0.0], [-0.10425023516558692, -0.18056670400780017], [0.0, 0.0], [-0.34707246542475495, 0.601147144023868], [0.0, 0.0], [0.2529024110485307, -0.43803982529272373], [0.0, 0.0], [-0.7122589111856401, -1.233668622317217], [0.0, 0.0], [-0.12598815766974242, 0.0], [0.0, 0.0], [-0.02813846577076793, 0.04873725236200781], [0.0, 0.0], [0.4205781198680859, 0.7284626721633183], [0.0, 0.0], [-0.49011963539532527, -0.8489121102918369], [0.0, 0.0], [-0.5129555899910948, -0.8884651438910457], [0.0, 0.0], [1.5247698696013563, 0.0], [0.0, 0.0], [-0.5640897526971669, 0.0], [0.0, 0.0], [-0.259996492795189, -0.4503271353109829], [0.0, 0.0], [0.5650348126203213, 0.9786690035035567], [0.0, 0.0], [-0.05555555555555555, -0.09622504486493763], [0.0, 0.0], [0.5026719033826593, -0.8706532761961199], [0.0, 0.0], [-0.03314714431370673, 0.0], [0.0, 0.0], [-0.5480660851340671, -0.9492783053575738], [0.0, 0.0], [-0.3435113189896529, 0.5949790574650786], [0.0, 0.0], [-0.07017636364480953, 0.12154902732323954], [0.0, 0.0], [0.20229888622185133, 0.350391949250842], [0.0, 0.0], [0.09110481317224468, -0.1577981652283981], [0.0, 0.0], [-0.630266099041786, 0.0], [0.0, 0.0], [0.22929535389502223, -0.3971512028856648], [0.0, 0.0]], 'angles': [None, None, -0.0712616685994923, -0.05307390375241415, -0.37073056779514785, -0.05361069148688611, -0.4341066150978817, -0.48068861100318655, -0.08862905297594259, -0.05090787850819345, -0.306975806526969, None, 0.12483863054605561, -0.258026394787396, -0.14762344638428365, 0.17047289443539695, -0.37597408713673647, -0.4571694304819032, -0.014246966691529583, -0.49760860715713134, -0.1120141611526032, 0.012235302207372041, -0.33284186192642834, -0.47247485446543414, -0.3010245723788179, -0.1355430843587017, -0.19573832259373708, 0.05270328124106245, -0.3788220149534014, -0.329014134101792, -0.4363186136088782, 0.20930525104550193, -0.22654732584398946, -0.35597125428416343, -0.43436720264530465, -0.10595442991804219, -0.27349134958263216, 0.20838135913611128, -0.04009808043313713, -0.4499716524392902, -0.06827986267126797, -0.40927550145748803, -0.13691952366487525, -0.3979700164408571, -0.33757306327241116, -0.13476780251866846, -0.39767803990696876, -0.3971826914523889, -0.11538600389548408, -0.12018867735638705, -0.20201836426010572, -0.4012860699826491, -0.05657044966034917, -0.2787585541144773, 0.17885869442512156, -0.024656863926747402, -0.3651902405571138, 0.19008608712455666, -0.09871994837796498, -0.3957800518451376, -0.13017191497275235, -0.15884688877029696, -0.13432838050808427, -0.4023922558368503, -0.48186293298259136, 0.19953518515645582, -0.32364085010693616, -0.10335768732656639, -0.27404499592532205, -0.4412260295220897, -0.3718230158982018, -0.2446721443265391, -0.06675685603314298, -0.09329643964090831, -0.3597010285354409, -0.12587837872605295, 0.00034906992528697175, -0.13214431932559248, -0.2943509050923433, 0.21382249078336374, 0.23836572493875402, -0.3376054188751049, -0.11323594579173643, -0.22064145059587548, -0.09817396470536008, -0.38824401618346505, -0.020092948167471026, 0.030281922067332562, -0.3361280963359324, -0.051948499927148915, -0.29683294414978484, 0.1691536233105567, -0.3274437822458952, -0.15532381961218458, -0.019176958707631222, -0.38749450162091376, -0.46117127244828304, -0.07401205103691064, -0.4797973227066942, -0.2248818913426261], 'char_orbit_index': 17, 'conrey_index': 1009, 'dual_conrey_index': 433, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 5, 'embedding_root_imag': 0.572546986991501, 'embedding_root_real': 0.33056015706325226, 'hecke_orbit': 13, 'hecke_orbit_code': 54044295073629936, 'label': '1776.2.q.m.1009.2', 'level': 1776, '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_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 47612649
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1009, 'source_dim': 6, 'source_embedding_index': 2, 'source_hecke_orbit_code': 54044295073629936, 'source_is_minimal': False, 'source_label': '1776.2.q.m.1009.2', 'source_level': 1776, 'target_conrey_index': 1009, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 54044295073629936, 'target_is_minimal': False, 'target_label': '1776.2.q.m.1009.2', 'target_level': 1776, 'twist_class_label': '888.2.q.h.121.2', 'twist_class_level': 888, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 47612650
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1009, 'source_dim': 6, 'source_embedding_index': 2, 'source_hecke_orbit_code': 54044295073629936, 'source_is_minimal': False, 'source_label': '1776.2.q.m.1009.2', 'source_level': 1776, 'target_conrey_index': 121, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 31526296936776568, 'target_is_minimal': True, 'target_label': '888.2.q.h.121.2', 'target_level': 888, 'twist_class_label': '888.2.q.h.121.2', 'twist_class_level': 888, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 47612651
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1009, 'source_dim': 6, 'source_embedding_index': 2, 'source_hecke_orbit_code': 54044295073629936, 'source_is_minimal': False, 'source_label': '1776.2.q.m.1009.2', 'source_level': 1776, 'target_conrey_index': 1009, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 31526365656255080, 'target_is_minimal': False, 'target_label': '2664.2.r.h.1009.2', 'target_level': 2664, 'twist_class_label': '888.2.q.h.121.2', 'twist_class_level': 888, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 47612652
    {'conductor': 37, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1009, 'source_dim': 6, 'source_embedding_index': 2, 'source_hecke_orbit_code': 54044295073629936, 'source_is_minimal': False, 'source_label': '1776.2.q.m.1009.2', 'source_level': 1776, 'target_conrey_index': 433, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 54044295073629936, 'target_is_minimal': False, 'target_label': '1776.2.q.m.433.2', 'target_level': 1776, 'twist_class_label': '888.2.q.h.121.2', 'twist_class_level': 888, 'twisting_char_label': '37.26', 'twisting_conrey_index': 26, 'weight': 2}
  • id: 47612653
    {'conductor': 148, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1009, 'source_dim': 6, 'source_embedding_index': 2, 'source_hecke_orbit_code': 54044295073629936, 'source_is_minimal': False, 'source_label': '1776.2.q.m.1009.2', 'source_level': 1776, 'target_conrey_index': 433, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 31526296936776568, 'target_is_minimal': True, 'target_label': '888.2.q.h.433.2', 'target_level': 888, 'twist_class_label': '888.2.q.h.121.2', 'twist_class_level': 888, 'twisting_char_label': '148.63', 'twisting_conrey_index': 63, 'weight': 2}
  • id: 47612654
    {'conductor': 444, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1009, 'source_dim': 6, 'source_embedding_index': 2, 'source_hecke_orbit_code': 54044295073629936, 'source_is_minimal': False, 'source_label': '1776.2.q.m.1009.2', 'source_level': 1776, 'target_conrey_index': 433, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 31526365656255080, 'target_is_minimal': False, 'target_label': '2664.2.r.h.433.2', 'target_level': 2664, 'twist_class_label': '888.2.q.h.121.2', 'twist_class_level': 888, 'twisting_char_label': '444.359', 'twisting_conrey_index': 359, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2199325
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 54044295073629936, 'p': 2}
  • id: 2199326
    {'charpoly_factorization': [[[1, 1, 1], 3]], 'hecke_orbit_code': 54044295073629936, 'p': 3}
  • id: 2199327
    {'charpoly_factorization': [[[4, -10, 31, 11, 14, -3, 1], 1]], 'hecke_orbit_code': 54044295073629936, 'p': 5}
  • id: 2199328
    {'charpoly_factorization': [[[1, -1, 1], 3]], 'hecke_orbit_code': 54044295073629936, 'p': 7}
  • id: 2199329
    {'charpoly_factorization': [[[20, -21, -1, 1], 2]], 'hecke_orbit_code': 54044295073629936, 'p': 11}
  • id: 2199330
    {'charpoly_factorization': [[[9, 12, 34, -30, 32, -6, 1], 1]], 'hecke_orbit_code': 54044295073629936, 'p': 13}
  • id: 2199331
    {'charpoly_factorization': [[[676, 494, 621, -242, 81, -10, 1], 1]], 'hecke_orbit_code': 54044295073629936, 'p': 17}
  • id: 2199332
    {'charpoly_factorization': [[[5184, 1080, 585, 69, 40, 5, 1], 1]], 'hecke_orbit_code': 54044295073629936, 'p': 19}
  • id: 2199333
    {'charpoly_factorization': [[[72, -67, -1, 1], 2]], 'hecke_orbit_code': 54044295073629936, 'p': 23}
  • id: 2199334
    {'charpoly_factorization': [[[180, 21, -14, 1], 2]], 'hecke_orbit_code': 54044295073629936, 'p': 29}
  • id: 2199335
    {'charpoly_factorization': [[[20, -14, -1, 1], 2]], 'hecke_orbit_code': 54044295073629936, 'p': 31}
  • id: 2199336
    {'charpoly_factorization': [[[50653, -2738, -1258, 178, -34, -2, 1], 1]], 'hecke_orbit_code': 54044295073629936, 'p': 37}
  • id: 2199337
    {'charpoly_factorization': [[[532900, 95630, 19351, 1067, 140, 3, 1], 1]], 'hecke_orbit_code': 54044295073629936, 'p': 41}
  • id: 2199338
    {'charpoly_factorization': [[[-5, -8, 0, 1], 2]], 'hecke_orbit_code': 54044295073629936, 'p': 43}
  • id: 2199339
    {'charpoly_factorization': [[[174, -23, -8, 1], 2]], 'hecke_orbit_code': 54044295073629936, 'p': 47}
  • id: 2199340
    {'charpoly_factorization': [[[57600, -4080, 3649, 718, 179, 14, 1], 1]], 'hecke_orbit_code': 54044295073629936, 'p': 53}
  • id: 2199341
    {'charpoly_factorization': [[[9216, -6432, 3817, -661, 116, 7, 1], 1]], 'hecke_orbit_code': 54044295073629936, 'p': 59}
  • id: 2199342
    {'charpoly_factorization': [[[64, 640, 6432, -304, 96, 4, 1], 1]], 'hecke_orbit_code': 54044295073629936, 'p': 61}
  • id: 2199343
    {'charpoly_factorization': [[[110889, -27306, 7390, -502, 86, -2, 1], 1]], 'hecke_orbit_code': 54044295073629936, 'p': 67}
  • id: 2199344
    {'charpoly_factorization': [[[760384, 17440, 16096, 1384, 344, 18, 1], 1]], 'hecke_orbit_code': 54044295073629936, 'p': 71}
  • id: 2199345
    {'charpoly_factorization': [[[-740, -152, 3, 1], 2]], 'hecke_orbit_code': 54044295073629936, 'p': 73}
  • id: 2199346
    {'charpoly_factorization': [[[110889, 42624, 18382, -102, 164, 6, 1], 1]], 'hecke_orbit_code': 54044295073629936, 'p': 79}
  • id: 2199347
    {'charpoly_factorization': [[[2359296, -245760, 40960, -1472, 260, -10, 1], 1]], 'hecke_orbit_code': 54044295073629936, 'p': 83}
  • id: 2199348
    {'charpoly_factorization': [[[57600, 22080, 7984, 664, 96, -2, 1], 1]], 'hecke_orbit_code': 54044295073629936, 'p': 89}
  • id: 2199349
    {'charpoly_factorization': [[[-873, -204, -4, 1], 2]], 'hecke_orbit_code': 54044295073629936, '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': 13, 'label': '1776.2.q.m', 'level': 1776, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 58223353
    {'hecke_orbit_code': 54044295073629936, 'n': 1, 'trace_an': 6}
  • id: 58223354
    {'hecke_orbit_code': 54044295073629936, 'n': 2, 'trace_an': 0}
  • id: 58223355
    {'hecke_orbit_code': 54044295073629936, 'n': 3, 'trace_an': -3}
  • id: 58223356
    {'hecke_orbit_code': 54044295073629936, 'n': 4, 'trace_an': 0}
  • id: 58223357
    {'hecke_orbit_code': 54044295073629936, 'n': 5, 'trace_an': 3}
  • id: 58223358
    {'hecke_orbit_code': 54044295073629936, 'n': 6, 'trace_an': 0}
  • id: 58223359
    {'hecke_orbit_code': 54044295073629936, 'n': 7, 'trace_an': 3}
  • id: 58223360
    {'hecke_orbit_code': 54044295073629936, 'n': 8, 'trace_an': 0}
  • id: 58223361
    {'hecke_orbit_code': 54044295073629936, 'n': 9, 'trace_an': -3}
  • id: 58223362
    {'hecke_orbit_code': 54044295073629936, 'n': 10, 'trace_an': 0}
  • id: 58223363
    {'hecke_orbit_code': 54044295073629936, 'n': 11, 'trace_an': 2}
  • id: 58223364
    {'hecke_orbit_code': 54044295073629936, 'n': 12, 'trace_an': 0}
  • id: 58223365
    {'hecke_orbit_code': 54044295073629936, 'n': 13, 'trace_an': 6}
  • id: 58223366
    {'hecke_orbit_code': 54044295073629936, 'n': 14, 'trace_an': 0}
  • id: 58223367
    {'hecke_orbit_code': 54044295073629936, 'n': 15, 'trace_an': 3}
  • id: 58223368
    {'hecke_orbit_code': 54044295073629936, 'n': 16, 'trace_an': 0}
  • id: 58223369
    {'hecke_orbit_code': 54044295073629936, 'n': 17, 'trace_an': 10}
  • id: 58223370
    {'hecke_orbit_code': 54044295073629936, 'n': 18, 'trace_an': 0}
  • id: 58223371
    {'hecke_orbit_code': 54044295073629936, 'n': 19, 'trace_an': -5}
  • id: 58223372
    {'hecke_orbit_code': 54044295073629936, 'n': 20, 'trace_an': 0}
  • id: 58223373
    {'hecke_orbit_code': 54044295073629936, 'n': 21, 'trace_an': 3}
  • id: 58223374
    {'hecke_orbit_code': 54044295073629936, 'n': 22, 'trace_an': 0}
  • id: 58223375
    {'hecke_orbit_code': 54044295073629936, 'n': 23, 'trace_an': 2}
  • id: 58223376
    {'hecke_orbit_code': 54044295073629936, 'n': 24, 'trace_an': 0}
  • id: 58223377
    {'hecke_orbit_code': 54044295073629936, 'n': 25, 'trace_an': -4}
  • id: 58223378
    {'hecke_orbit_code': 54044295073629936, 'n': 26, 'trace_an': 0}
  • id: 58223379
    {'hecke_orbit_code': 54044295073629936, 'n': 27, 'trace_an': 6}
  • id: 58223380
    {'hecke_orbit_code': 54044295073629936, 'n': 28, 'trace_an': 0}
  • id: 58223381
    {'hecke_orbit_code': 54044295073629936, 'n': 29, 'trace_an': 28}
  • id: 58223382
    {'hecke_orbit_code': 54044295073629936, 'n': 30, 'trace_an': 0}
  • id: 58223383
    {'hecke_orbit_code': 54044295073629936, 'n': 31, 'trace_an': 2}
  • id: 58223384
    {'hecke_orbit_code': 54044295073629936, 'n': 32, 'trace_an': 0}
  • id: 58223385
    {'hecke_orbit_code': 54044295073629936, 'n': 33, 'trace_an': -1}
  • id: 58223386
    {'hecke_orbit_code': 54044295073629936, 'n': 34, 'trace_an': 0}
  • id: 58223387
    {'hecke_orbit_code': 54044295073629936, 'n': 35, 'trace_an': -3}
  • id: 58223388
    {'hecke_orbit_code': 54044295073629936, 'n': 36, 'trace_an': 0}
  • id: 58223389
    {'hecke_orbit_code': 54044295073629936, 'n': 37, 'trace_an': 2}
  • id: 58223390
    {'hecke_orbit_code': 54044295073629936, 'n': 38, 'trace_an': 0}
  • id: 58223391
    {'hecke_orbit_code': 54044295073629936, 'n': 39, 'trace_an': 6}
  • id: 58223392
    {'hecke_orbit_code': 54044295073629936, 'n': 40, 'trace_an': 0}
  • id: 58223393
    {'hecke_orbit_code': 54044295073629936, 'n': 41, 'trace_an': -3}
  • id: 58223394
    {'hecke_orbit_code': 54044295073629936, 'n': 42, 'trace_an': 0}
  • id: 58223395
    {'hecke_orbit_code': 54044295073629936, 'n': 43, 'trace_an': 0}
  • id: 58223396
    {'hecke_orbit_code': 54044295073629936, 'n': 44, 'trace_an': 0}
  • id: 58223397
    {'hecke_orbit_code': 54044295073629936, 'n': 45, 'trace_an': -6}
  • id: 58223398
    {'hecke_orbit_code': 54044295073629936, 'n': 46, 'trace_an': 0}
  • id: 58223399
    {'hecke_orbit_code': 54044295073629936, 'n': 47, 'trace_an': 16}
  • id: 58223400
    {'hecke_orbit_code': 54044295073629936, 'n': 48, 'trace_an': 0}
  • id: 58223401
    {'hecke_orbit_code': 54044295073629936, 'n': 49, 'trace_an': 18}
  • id: 58223402
    {'hecke_orbit_code': 54044295073629936, 'n': 50, 'trace_an': 0}
  • id: 58223403
    {'hecke_orbit_code': 54044295073629936, 'n': 51, 'trace_an': -20}
  • id: 58223404
    {'hecke_orbit_code': 54044295073629936, 'n': 52, 'trace_an': 0}
  • id: 58223405
    {'hecke_orbit_code': 54044295073629936, 'n': 53, 'trace_an': -14}
  • id: 58223406
    {'hecke_orbit_code': 54044295073629936, 'n': 54, 'trace_an': 0}
  • id: 58223407
    {'hecke_orbit_code': 54044295073629936, 'n': 55, 'trace_an': 16}
  • id: 58223408
    {'hecke_orbit_code': 54044295073629936, 'n': 56, 'trace_an': 0}
  • id: 58223409
    {'hecke_orbit_code': 54044295073629936, 'n': 57, 'trace_an': -5}
  • id: 58223410
    {'hecke_orbit_code': 54044295073629936, 'n': 58, 'trace_an': 0}
  • id: 58223411
    {'hecke_orbit_code': 54044295073629936, 'n': 59, 'trace_an': -7}
  • id: 58223412
    {'hecke_orbit_code': 54044295073629936, 'n': 60, 'trace_an': 0}
  • id: 58223413
    {'hecke_orbit_code': 54044295073629936, 'n': 61, 'trace_an': -4}
  • id: 58223414
    {'hecke_orbit_code': 54044295073629936, 'n': 62, 'trace_an': 0}
  • id: 58223415
    {'hecke_orbit_code': 54044295073629936, 'n': 63, 'trace_an': -6}
  • id: 58223416
    {'hecke_orbit_code': 54044295073629936, 'n': 64, 'trace_an': 0}
  • id: 58223417
    {'hecke_orbit_code': 54044295073629936, 'n': 65, 'trace_an': -22}
  • id: 58223418
    {'hecke_orbit_code': 54044295073629936, 'n': 66, 'trace_an': 0}
  • id: 58223419
    {'hecke_orbit_code': 54044295073629936, 'n': 67, 'trace_an': 2}
  • id: 58223420
    {'hecke_orbit_code': 54044295073629936, 'n': 68, 'trace_an': 0}
  • id: 58223421
    {'hecke_orbit_code': 54044295073629936, 'n': 69, 'trace_an': -1}
  • id: 58223422
    {'hecke_orbit_code': 54044295073629936, 'n': 70, 'trace_an': 0}
  • id: 58223423
    {'hecke_orbit_code': 54044295073629936, 'n': 71, 'trace_an': -18}
  • id: 58223424
    {'hecke_orbit_code': 54044295073629936, 'n': 72, 'trace_an': 0}
  • id: 58223425
    {'hecke_orbit_code': 54044295073629936, 'n': 73, 'trace_an': -6}
  • id: 58223426
    {'hecke_orbit_code': 54044295073629936, 'n': 74, 'trace_an': 0}
  • id: 58223427
    {'hecke_orbit_code': 54044295073629936, 'n': 75, 'trace_an': 8}
  • id: 58223428
    {'hecke_orbit_code': 54044295073629936, 'n': 76, 'trace_an': 0}
  • id: 58223429
    {'hecke_orbit_code': 54044295073629936, 'n': 77, 'trace_an': 1}
  • id: 58223430
    {'hecke_orbit_code': 54044295073629936, 'n': 78, 'trace_an': 0}
  • id: 58223431
    {'hecke_orbit_code': 54044295073629936, 'n': 79, 'trace_an': -6}
  • id: 58223432
    {'hecke_orbit_code': 54044295073629936, 'n': 80, 'trace_an': 0}
  • id: 58223433
    {'hecke_orbit_code': 54044295073629936, 'n': 81, 'trace_an': -3}
  • id: 58223434
    {'hecke_orbit_code': 54044295073629936, 'n': 82, 'trace_an': 0}
  • id: 58223435
    {'hecke_orbit_code': 54044295073629936, 'n': 83, 'trace_an': 10}
  • id: 58223436
    {'hecke_orbit_code': 54044295073629936, 'n': 84, 'trace_an': 0}
  • id: 58223437
    {'hecke_orbit_code': 54044295073629936, 'n': 85, 'trace_an': 18}
  • id: 58223438
    {'hecke_orbit_code': 54044295073629936, 'n': 86, 'trace_an': 0}
  • id: 58223439
    {'hecke_orbit_code': 54044295073629936, 'n': 87, 'trace_an': -14}
  • id: 58223440
    {'hecke_orbit_code': 54044295073629936, 'n': 88, 'trace_an': 0}
  • id: 58223441
    {'hecke_orbit_code': 54044295073629936, 'n': 89, 'trace_an': 2}
  • id: 58223442
    {'hecke_orbit_code': 54044295073629936, 'n': 90, 'trace_an': 0}
  • id: 58223443
    {'hecke_orbit_code': 54044295073629936, 'n': 91, 'trace_an': -6}
  • id: 58223444
    {'hecke_orbit_code': 54044295073629936, 'n': 92, 'trace_an': 0}
  • id: 58223445
    {'hecke_orbit_code': 54044295073629936, 'n': 93, 'trace_an': -1}
  • id: 58223446
    {'hecke_orbit_code': 54044295073629936, 'n': 94, 'trace_an': 0}
  • id: 58223447
    {'hecke_orbit_code': 54044295073629936, 'n': 95, 'trace_an': 22}
  • id: 58223448
    {'hecke_orbit_code': 54044295073629936, 'n': 96, 'trace_an': 0}
  • id: 58223449
    {'hecke_orbit_code': 54044295073629936, 'n': 97, 'trace_an': 8}
  • id: 58223450
    {'hecke_orbit_code': 54044295073629936, 'n': 98, 'trace_an': 0}
  • id: 58223451
    {'hecke_orbit_code': 54044295073629936, 'n': 99, 'trace_an': -1}
  • id: 58223452
    {'hecke_orbit_code': 54044295073629936, 'n': 100, 'trace_an': 0}