Newform data - 1134.2.h.c

Formats: - HTML - YAML - JSON - 2026-07-20T09:44:47.575451

• 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': 4536, 'analytic_conductor': 9.055035589213196, 'analytic_rank': 1, 'analytic_rank_proved': True, 'char_conductor': 63, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 8, 'char_orbit_label': 'h', 'char_order': 3, 'char_parity': 1, 'char_values': [1134, 3, [407, 325], [1, 2]], 'cm_discs': [], 'conrey_index': 109, 'dim': 2, 'field_disc': -3, 'field_disc_factorization': [[-1, 1], [3, 1]], 'field_poly': [1, -1, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 6, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [0, 1]], [11, [0, 1]], [17, [36, 6, 1]], [23, [3, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007680324633710, 'hecke_ring_generator_nbound': 2, '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, 63, 7, 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': True, 'label': '1134.2.h.c', 'level': 1134, '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, 7], 'level_radical': 42, 'minimal_twist': '1134.2.g.b', 'nf_label': '2.0.3.1', 'prim_orbit_index': 7, 'qexp_display': 'q+(-1+\\zeta_{6})q^{2}-\\zeta_{6}q^{4}+(-3+2\\zeta_{6})q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c3', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1134.2.h', 'trace_display': [-1, 0, 0, -4], 'trace_hash': 171053996962703096, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.938', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '11.026', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '95.389', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.018', 'prec': 17}, 'traces': [2, -1, 0, -1, 0, 0, -4, 2, 0, 0, 0, 0, 4, -1, 0, -1, -6, 0, -2, 0, 0, 0, -6, 0, -10, 4, 0, 5, 6, 0, -5, -1, 0, -6, 0, 0, -8, 4, 0, 0, -3, 0, -2, 0, 0, 3, 3, 0, 2, 5, 0, -8, -6, 0, 0, -4, 0, -12, -12, 0, -8, 10, 0, 2, 0, 0, -8, 12, 0, 0, -30, 0, -11, 16, 0, -2, 0, 0, 1, 0, 0, -3, 0, 0, 0, 4, 0, 0, -9, 0, 4, 3, 0, 3, 0, 0, -2, 11, 0, 5, 12, 0, -2, 4, 0, -6, -6, 0, 16, 0, 0, -1, -18, 0, 0, 6, 0, 24, -6, 0, -22, -8, 0, -5, 0, 0, -14, -1, 0, 0, 24, 0, 10, 16, 0, -6, 6, 0, 16, 0, 0, 15, 0, 0, 0, -11, 0, -8, 12, 0, 34, -2, 0, 0, 0, 0, 22, 1, 0, 0, 12, 0, -8, 6, 0, 0, -21, 0, -3, 0, 0, -2, 18, 0, 20, 0, 0, 18, 0, 0, 4, -20, 0, -6, 0, 0, 0, -6, 0, 0, -24, 0, 19, 4, 0, -13, 0, 0, -23, -10, 0, -6, -30, 0, 0, 1, 0, 4, 0, 0, -26, 12, 0, 12, 0, 0, 25, 16, 0, 0, 24, 0, 19, 5, 0, -18, -36, 0, 16, 0, 0, 6, -18, 0, 0, -12, 0, 30, 21, 0, 10, 11, 0, 16, 0, 0, -16, -5, 0, 0, 60, 0, 0, 7, 0, -1, 42, 0, 40, 0, 0, -12, -48, 0, 0, -8, 0, -8, -18, 0, -20, -6, 0, -3, 0, 0, -32, 16, 0, 0, 3, 0, 28, 15, 0, 0, -3, 0, -19, 0, 0, 22, -18, 0, 0, -8, 0, -6, -12, 0, 10, -17, 0, 4, 0, 0, 16, 0, 0, 0, -24, 0, 19, -44, 0, -2, -24, 0, 0, 0, 0, 3, 24, 0, -20, 16, 0, -3, 3, 0, 10, 0, 0, -21, 0, 0, -14, 6, 0, 0, 0, 0, 20, -2, 0, 18, -6, 0, 4, 5, 0, 0, 66, 0, 0, -9, 0, 0, 21, 0, 15, -2, 0, 16, 0, 0, -2, 3, 0, 0, -6, 0, -8, 0, 0, 3, 48, 0, -20, 0, 0, -24, -30, 0, 0, -38, 0, -2, -48, 0, 18, 2, 0, 0, 0, 0, -2, -23, 0, 5, 30, 0, -40, -6, 0, 24, 0, 0, 7, 0, 0, 1, 60, 0, 0, -8, 0, 0, 36, 0, -8, -26, 0, -6, 30, 0, -8, -6, 0, 0, 15, 0, 82, -20, 0, -32, 6, 0, 1, 0, 0, -48, -6, 0, 0, -38, 0, -4, -60, 0, 0, 36, 0, 18, 0, 0, -2, -8, 0, 0, 36, 0, 13, -12, 0, 36, -12, 0, 40, 0, 0, -12, 0, 0, 10, -24, 0, 21, 18, 0, -64, -5, 0, 11, 0, 0, 7, -8, 0, 0, 6, 0, -72, 8, 0, 10, 60, 0, -68, 0, 0, -30, -30, 0, 0, 0, 0, 7, 12, 0, -11, 2, 0, -21, 0, 0, 0, -32, 0, 0, -15, 0, 40, -12, 0, 24, 60, 0, -28, 0, 0, -2, 12, 0, 0, -8, 0, -18, 0, 0, -38, 40, 0, 12, 0, 0, -26, -3, 0, 0, 12, 0, 1, 16, 0, -32, -12, 0, -16, 0, 0, -6, -42, 0, 0, -56, 0, -30, 21, 0, -32, 0, 0, 15, 30, 0, -14, 38, 0, 0, 0, 0, 0, -11, 0, -18, 6, 0, -10, 0, 0, 16, -9, 0, 0, -6, 0, -12, -24, 0, 1, -8, 0, -17, 0, 0, -80, -2, 0, 0, -12, 0, 16, -8, 0, 0, 27, 0, 4, 0, 0, 48, 45, 0, 50, 19, 0, 22, 96, 0, 16, 1, 0, -24, 0, 0, -44, 0, 0, 0, 30, 0, 34, -15, 0, -12, -9, 0, 0, -20, 0, -8, -48, 0, 0, -3, 0, -15, -30, 0, -14, 10, 0, 0, 0, 0, -18, 42, 0, 0, 0, 0, -17, -14, 0, -3, -48, 0, 10, 0, 0, 0, -48, 0, 0, -37, 0, 4, 24, 0, 34, -36, 0, 12, 0, 0, -18, -8, 0, -25, 0, 0, -16, 0, 0, -33, -24, 0, -38, 0, 0, -9, 15, 0, 0, 0, 0, -42, 9, 0, 4, 15, 0, -2, -30, 0, 13, 4, 0, 0, 24, 0, 28, 1, 0, 3, 0, 0, -2, 0, 0, 30, 15, 0, 0, 4, 0, 0, 30, 0, -62, 3, 0, -24, 0, 0, -32, 10, 0, 0, -42, 0, 16, 48, 0, 15, -96, 0, 22, 0, 0, 19, -30, 0, 25, -2, 0, 24, 12, 0, 0, 18, 0, 11, 0, 0, 22, 0, 0, 0, -18, 0, 32, 4, 0, 46, 12, 0, 18, 5, 0, -15, 0, 0, 0, 20, 0, 12, 21, 0, -68, 6, 0, 0, 0, 0, -4, -14, 0, 0, -36, 0, 37, -2, 0, -48, 0, 0, 52, 0, 0, 4, 66, 0, 0, 0, 0, 36, -24, 0, -7, 16, 0, 52, 0, 0, 44, -6, 0, 30, 24, 0, -8, 40, 0, -6, -42, 0, 4, 0, 0, 15, 45, 0, 0, -41, 0, -5, 0, 0, -64, 16, 0, -12, 0, 0, 76, 1, 0, 0, 18, 0, 40, 24, 0, -6, -54, 0, 28, 0, 0, 19, -12, 0, 0, -1, 0, 30, 30, 0, -36, 0, 0, -18, 0, 0, 16, 18, 0, 0, -3, 0, 0, -2, 0, -8, -48, 0, -8, 0, 0, -72, -60, 0, 40, 13, 0, 6, 21, 0, -26, -18, 0, 24, 0, 0, -74, -32, 0, 0, 48, 0, 9, 24, 0, 0, -18, 0, 44, -20, 0, -6, -42, 0, 0, -42, 0, -9, -12, 0, 6, 32, 0, -5, 0, 0, 19, -22, 0, 0, -30, 0, 16, 7, 0, -8, 9, 0, 0, 0, 0, 6, 48, 0, 0, 36, 0, 8, 6, 0, -5, -5, 0, 15, 0, 0, 100, 34, 0, 0, 0, 0, 144, -30, 0, 15, 24, 0, -44, 0, 0, 0, -72, 0, 0, -14, 0, -6, -48, 0, -14, 55, 0, -1, 15, 0, -4, -21, 0, 0, 72, 0, 70, 0, 0, -8, -48, 0, 40, 0, 0, -15, -24, 0, 0, -80, 0, 24, -6, 0, 46, 24, 0, -30, 0, 0, -68, 14, 0, 0, -12, 0, -80, 10, 0, -24, 0, 0, -2, 0, 0, 16, 48, 0, 10, 36, 0, 0, 0, 0, -9, 76, 0, -20, 0, 0, 28, -6, 0, 0, 48, 0, 16, 52, 0, 6, -45, 0, -110, 0, 0, 12, -21, 0, 0, -5, 0, 16, -84, 0, 0, 16, 0, -12, 0, 0, -2, 8, 0, 0, -24, 0, -20, 3, 0, 84, -6, 0, -62, 0, 0, 28, 0, 0, 0, 15, 0, 21, 96, 0, 40, 64, 0, 0, 0, 0, -40, -12, 0, -15, 51, 0, 61, -14, 0, -19, -72, 0, 32, 0, 0, 0, -6, 0, 0, 0, 0, -11, -21, 0, 28, 36, 0, -12, -15, 0, 0, -10, 0, 0, -30, 0, 15, -8, 0, 18, -30, 0, -36, 0, 0, 12, 39, 0, 0, 24, 0, 48, 0, 0, -23, -2, 0, -2, 0, 0, 90, 34, 0, 0, 18, 0, -20, 40, 0, -2, -30, 0, 18, 0, 0, 24, -27, 0, -10, 16, 0, -8, 6, 0, 28, 0, 0, 27, 0, 0, 16, -2, 0, 0, -66, 0, 0, -24, 0, -36, 12, 0, 70, -25, 0, -38, 0, 0, 0, 22, 0, -48, -108, 0, -16, -8, 0, 1, 0, 0, -8, 48, 0, 0, 30, 0, -16, 52, 0, 0, -54, 0, 49, 0, 0, -15, -84, 0, 0, 34, 0, 12, -45, 0, -56, -12, 0, -9, 0, 0, -17, 0, 0, 40, 48, 0, -35, -8, 0, 24, 54, 0, 0, 0, 0, 6, 24, 0, 0, 12, 0, 60, 45, 0, 7, 28, 0, -20, 30, 0, 31, 0, 0, 0, 0, 0, -10, 36, 0, -21, -24, 0, -4, 0, 0, 0, 6, 0, 0, 34, 0, 28, 30, 0, -95, -3, 0, -48, 0, 0, 36, -8, 0, 0, -18, 0, 36, 0, 0, -48, 24, 0, -27, 0, 0, 17, -12, 0, 0, -2, 0, -48, 0, 0, 100, 34, 0, 18, 0, 0, 44, -6, 0, 0, -48, 0, -23, 36, 0, 4, 0, 0, 16, 20, 0, 0, 24, 0, 0, -16, 0, 0, -132, 0, 0, -33, 0, -6, 0, 0, -64, -38, 0, 0, 78, 0, 61, 18, 0, -30, -24, 0, -2, 0, 0, 0, 15, 0, 0, 21, 0, -18, -48, 0, 0, 1, 0, -30, 0, 0, -17, 4, 0, 60, 6, 0, 4, -26, 0, -20, -30, 0, 16, 0, 0, -12, 0, 0, 0, -14, 0, 1, 72, 0, -8, -6, 0, 0, 60, 0, -26, -2, 0, 0, -33, 0, -14, -24, 0, 15, -24, 0, -44, 0, 0, 4, 42, 0, 0, 0, 0, -24, -48, 0, -4, 31, 0, -6, 0, 0, 0, -24, 0, 0, -102, 0, 108, 16, 0, 10, 48, 0, -65, 0, 0, 21, 24, 0, 40, -80, 0, -24, 0, 0, -74, 15, 0, 48, 0, 0, -72, 22, 0, 0, 24, 0, -32, 19, 0, -30, -120, 0, -20, -50, 0, 4, 51, 0, 0, 24, 0, -6, -27, 0, -95, 0, 0, -36, 0, 0, -14, -13, 0, 0, -6, 0, -44, -44, 0, 0, 0, 0, -14, 0, 0, 90, 114, 0, 0, -64, 0, -2, 72, 0, -16, -23, 0, 12, 0, 0, 70, -36, 0, -10, -45, 0, -32, -15, 0, 0, 69, 0, -47, 0, 0, 20, -84, 0, 0, -6, 0, 21, 54, 0, 4, 34, 0, -30, 0, 0, -56, 0, 0, 0, 90, 0, 90, -4, 0, 7, 24, 0, 0, 0, 0, -36, 60, 0, 0, -74, 0, 1, 24, 0, -28, -12, 0, 0, 0, 0, -2, 52, 0, 0, 0, 0, -128, 4, 0, -78, 72, 0, -44, 0, 0, 0, 21, 0, 40, -72, 0, 48, 33, 0, 32, -7, 0, -8, 0, 0, -20, -26, 0, 0, -18, 0, -92, 11, 0, 12, -54, 0, -26, -60, 0, -48, 48, 0, 0, 16, 0, -32, -96, 0, 72, 12, 0, 21, 0, 0, -36, -2, 0, 0, 6, 0, -50, -30, 0, -90, 0, 0, 32, 0, 0, -41, -78, 0, 0, 25, 0, 0, -48, 0, 28, 32, 0, 16, 0, 0, -8, 6, 0, 0, 6, 0, 52, -38, 0, -2, -120, 0, 16, 0, 0, -9, 12, 0, 0, -20, 0, 24, -96, 0, 0, 12, 0, 27, 150, 0, -59, 7, 0, 0, 12, 0, -29, 19, 0, 6, 48, 0, -164, 0, 0, 5, 0, 0, 0, 30, 0, 30, -84, 0, 49, 72, 0, 0, 0, 0, -64, -18, 0, 0, 60, 0, -104, -8, 0, -36, -3, 0, 72, 0, 0, 6, -12, 0, 55, 0, 0, 4, -60, 0, -32, 16, 0, -12, 0, 0, 0, 16, 0, 0, 96, 0, -4, 36, 0, -60, 63, 0, 39, -80, 0, -26, 96, 0, 0, 6, 0, 21, 0, 0, -38, 4, 0, -18, 0, 0, 64, -12, 0, 0, 39, 0, -74, 37, 0, -8, -60, 0, -32, 0, 0, -96, -18, 0, 0, 9, 0, -12, -30, 0, 80, 0, 0, -18, 0, 0, 100, -88, 0, 10, -96, 0, 0, 30, 0, 21, 78, 0, 0, 0, 0, 21, -60, 0, 0, -9, 0, -3, -12, 0, -108, 6, 0, 32, 0, 0, 9, 10, 0, 0, 30, 0, -14, 19, 0, 11, 24, 0, 64, 0, 0, 60, 48, 0, 0, -80, 0, -14, -24, 0, 37, 16, 0, -18, 0, 0, 2, 0, 0, 0, 96, 0, 68, -12, 0, -24, -15, 0, 0, 0, 0, 36, -72, 0, -5, -16, 0, -12, 18, 0, -140, -5, 0, -5, 0, 0, -26, -75, 0, 0, 0, 0, 106, -50, 0, 34, -6, 0, 16, 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], [-1, 1], [0, 0], [0, -1], [0, 0], [0, 0], [-3, 2], [1, 0], [0, 0], [0, 0], [0, 0], [0, 0], [4, -4], [1, -3], [0, 0], [-1, 1], [-6, 6], [0, 0], [0, -2], [0, 0], [0, 0], [0, 0], [-3, 0], [0, 0], [-5, 0], [0, 4], [0, 0], [2, 1], [0, 6], [0, 0], [0, -5], [0, -1], [0, 0], [0, -6], [0, 0], [0, 0], [0, -8], [2, 0], [0, 0], [0, 0], [-3, 3], [0, 0], [0, -2], [0, 0], [0, 0], [3, -3], [3, -3], [0, 0], [5, -8], [5, -5], [0, 0], [-4, 0], [-6, 6], [0, 0], [0, 0], [-3, 2], [0, 0], [-6, 0], [0, -12], [0, 0], [-8, 8], [5, 0], [0, 0], [1, 0], [0, 0], [0, 0], [0, -8], [6, 0], [0, 0], [0, 0], [-15, 0], [0, 0], [-11, 11], [8, 0], [0, 0], [-2, 2], [0, 0], [0, 0], [1, -1], [0, 0], [0, 0], [0, -3], [0, 0], [0, 0], [0, 0], [2, 0], [0, 0], [0, 0], [0, -9], [0, 0], [-4, 12], [0, 3], [0, 0], [0, 3], [0, 0], [0, 0], [0, -2], [3, 5], [0, 0], [0, 5]], 'ap': [[-1, 1], [0, 0], [0, 0], [-3, 2], [0, 0], [4, -4], [-6, 6], [0, -2], [-3, 0], [0, 6], [0, -5], [0, -8], [-3, 3], [0, -2], [3, -3], [-6, 6], [0, -12], [-8, 8], [0, -8], [-15, 0], [-11, 11], [1, -1], [0, 0], [0, -9], [0, -2], [6, 0], [-1, 0], [0, -6], [16, -16], [-18, 18], [-7, 0], [12, 0], [3, 0], [16, -16], [6, 0], [17, 0], [0, 22], [0, -8], [-21, 21], [18, -18], [0, 0], [2, 0], [-24, 24], [0, 19], [0, 0], [-23, 23], [-26, 26], [0, 19], [-18, 0], [8, 0], [0, -18], [21, -21], [5, 0], [30, 0], [21, 0], [-24, 0], [-18, 18], [0, -20], [-16, 0], [0, 3], [0, 28], [-18, 18], [8, 0], [0, -24], [19, -19], [-24, 24], [10, -10], [-14, 14], [0, -6], [0, 4], [33, 0], [0, 21], [-1, 0], [-4, 0], [-10, 0], [-15, 0], [-24, 0], [0, -2], [15, 0], [0, 7], [36, -36], [0, -8], [15, -15], [41, 0], [1, -1], [-6, 6], [-30, 0], [-2, 2], [0, 36], [13, -13], [0, -12], [9, 0], [7, -7], [6, -6], [-34, 0], [-15, 0], [6, 0], [-15, 15], [0, 40], [0, -38], [0, -26], [-12, 12], [0, -42], [21, -21], [0, -32], [-14, 14], [0, 6], [0, -9], [0, -24], [0, 1], [-40, 0], [16, -16], [27, -27], [2, 0], [8, 0], [15, 0], [34, -34], [-9, 9], [-24, 0], [0, -30], [0, -14], [0, -17], [-48, 48], [-48, 48], [34, -34], [0, 0], [-38, 38], [0, 9], [0, 13], [14, 0], [-2, 2], [15, -15], [-31, 0], [-16, 0], [-21, 0], [22, -22], [-30, 30], [0, 22], [12, -12], [21, -21], [-34, 0], [-36, 36], [0, 37], [0, 0], [52, -52], [0, -24], [0, -8], [-21, 0], [2, 0], [0, 45], [38, 0], [9, 0], [20, 0], [-27, 0], [8, 0], [0, -3], [0, -8], [21, -21], [-37, 0], [0, 48], [-18, 18], [-21, 0], [19, -19], [0, -30], [0, 9], [24, 0], [-5, 5], [50, 0], [-22, 0], [-36, 0], [-24, 0], [-14, 14], [36, 0], [35, 0], [0, 40], [-6, 6], [0, 46], [-12, 12], [-40, 0], [-2, 2], [28, -28], [0, 48], [16, -16], [0, -45], [0, -21], [-42, 0], [-2, 2], [-10, 0], [-31, 0], [51, -51], [0, 61], [0, -6], [0, 28], [-30, 30], [-30, 30], [0, 39], [0, -23], [-20, 20], [0, -30], [0, -27], [0, 6], [0, 28], [8, 0], [35, 0], [-54, 0], [-54, 54], [0, 49], [-42, 0], [0, -45], [0, -56], [0, -17], [48, -48], [0, -35], [54, -54], [0, 45], [7, -7], [0, 31], [-9, 0], [0, 24], [-12, 12], [50, 0], [16, -16], [-66, 0], [0, 61], [-24, 24], [0, -2], [15, -15], [-48, 48], [-17, 17], [6, -6], [0, 4], [16, -16], [-8, 8], [0, -33], [0, -14], [-12, 0], [-22, 0], [0, 42], [-48, 48], [-51, 0], [12, 0], [0, -74], [0, -32], [0, -20], [51, -51], [-27, 27], [-7, 0], [0, -6], [0, -14], [57, 0], [70, -70], [0, -45], [0, 69], [0, -47], [-42, 0], [0, 54], [4, -4], [-28, 0], [12, 0], [0, -2], [-64, 0], [0, 72], [0, -44], [-46, 0], [0, -54], [-26, 26], [-48, 0], [0, 6], [-50, 50], [0, -78], [14, 0], [-8, 8], [26, 0], [8, 0], [-59, 59], [0, -29], [24, 0], [-82, 0], [0, 49], [60, -60], [0, -12], [0, -32], [0, 63], [0, -38], [32, 0], [0, 39], [-74, 74], [-60, 60], [-16, 0], [-15, 0], [-48, 0], [78, -78], [-30, 0], [30, -30], [0, -14], [0, -24], [37, -37], [0, -72], [0, 18], [0, -26], [53, 0], [0, -6], [16, -16]], 'char_orbit_index': 8, 'field_poly': [1, -1, 1], 'hecke_orbit_code': 9007680324633710, 'hecke_ring_character_values': [[407, [-1, 1]], [325, [0, -1]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 2, 'label': '1134.2.h.c', 'level': 1134, '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': 4536, 'analytic_conductor': 9.055035589213196, 'char_conductor': 63, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 8, 'char_orbit_label': 'h', 'char_order': 3, 'char_parity': 1, 'char_values': [1134, 3, [407, 325], [1, 2]], 'conrey_index': 109, 'cusp_dim': 384, 'dim': 64, 'eis_dim': 96, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 11, 17, 23], 'hecke_orbit_code': 481069892718, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 8, 8], 'label': '1134.2.h', 'level': 1134, '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, 7], 'level_radical': 42, 'mf_dim': 480, 'mf_new_dim': 64, 'num_forms': 22, 'prim_orbit_index': 7, 'relative_dim': 32, 'sturm_bound': 432, 'trace_bound': 7, 'trace_display': [0, 0, 0, 10], 'traces': [64, 0, 0, -32, 0, 0, 10, 0, 0, 0, 0, 0, -10, 0, 0, -32, 0, 0, 20, 0, 0, 0, 0, 0, 64, 0, 0, 10, 0, 0, -10, 0, 0, 0, 0, 0, -10, 0, 0, 0, 0, 0, -10, 0, 0, 12, 0, 0, 34, 0, 0, 20, 0, 0, 60, 0, 0, 60, 0, 0, 14, 0, 0, 64, 0, 0, 2, 0, 0, 18, 0, 0, -4, 0, 0, 20, 0, 0, -64, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 8, 0, 0, -24, 0, 0, -10, 0, 0, -32, 0, 0, -124, 0, 0, 0, 0, 0, -22, 0, 0, -20, 0, 0, 0, 0, 0, 60, 0, 0, 112, 0, 0, -10, 0, 0, 68, 0, 0, -24, 0, 0, -28, 0, 0, 0, 0, 0, 26, 0, 0, -24, 0, 0, -60, 0, 0, -10, 0, 0, 92, 0, 0, -84, 0, 0, 44, 0, 0, 0, 0, 0, 26, 0, 0, -24, 0, 0, -102, 0, 0, -10, 0, 0, 64, 0, 0, -48, 0, 0, -304, 0, 0, -24, 0, 0, 36, 0, 0, -72, 0, 0, 98, 0, 0, -32, 0, 0, -142, 0, 0, -48, 0, 0, 108, 0, 0, -10, 0, 0, -94, 0, 0, -144, 0, 0, -52, 0, 0, -30, 0, 0, 26, 0, 0, -24, 0, 0, -4, 0, 0, -30, 0, 0, 12, 0, 0, 72, 0, 0, 248, 0, 0, -28, 0, 0, 64, 0, 0, 96, 0, 0, -168, 0, 0, -32, 0, 0, -214, 0, 0, 0, 0, 0, 96, 0, 0, 2, 0, 0, 2, 0, 0, 24, 0, 0, -52, 0, 0, 54, 0, 0, -82, 0, 0, 0, 0, 0, 40, 0, 0, 8, 0, 0, 36, 0, 0, -24, 0, 0, -94, 0, 0, -40, 0, 0, 236, 0, 0, -60, 0, 0, -40, 0, 0, 128, 0, 0, -12, 0, 0, 108, 0, 0, -10, 0, 0, 0, 0, 0, 116, 0, 0, 48, 0, 0, 170, 0, 0, 48, 0, 0, -56, 0, 0, 156, 0, 0, -46, 0, 0, 0, 0, 0, -72, 0, 0, 96, 0, 0, 48, 0, 0, -22, 0, 0, -184, 0, 0, -96, 0, 0, -448, 0, 0, -24, 0, 0, 68, 0, 0, 36, 0, 0, 36, 0, 0, -10, 0, 0, -96, 0, 0, 108, 0, 0, 14, 0, 0, -32, 0, 0, -476, 0, 0, -84, 0, 0, -10, 0, 0, 62, 0, 0, -102, 0, 0, 312, 0, 0, 152, 0, 0, 0, 0, 0, 56, 0, 0, 72, 0, 0, -76, 0, 0, 44, 0, 0, -196, 0, 0, -240, 0, 0, -48, 0, 0, 10, 0, 0, 300, 0, 0, -102, 0, 0, -82, 0, 0, 0, 0, 0, 128, 0, 0, 120, 0, 0, 194, 0, 0, -30, 0, 0, 152, 0, 0, 120, 0, 0, 196, 0, 0, -56, 0, 0, 74, 0, 0, 36, 0, 0, -96, 0, 0, 20, 0, 0, 20, 0, 0, 6, 0, 0, -84, 0, 0, -34, 0, 0, -34, 0, 0, 24, 0, 0, 36, 0, 0, -24, 0, 0, -82, 0, 0, 12, 0, 0, 352, 0, 0, -52, 0, 0, 84, 0, 0, -54, 0, 0, 164, 0, 0, 0, 0, 0, 86, 0, 0, 66, 0, 0, -268, 0, 0, -52, 0, 0, 76, 0, 0, -96, 0, 0, -12, 0, 0, 48, 0, 0, 80, 0, 0, 12, 0, 0, -160, 0, 0, -60, 0, 0, 78, 0, 0, -54, 0, 0, -20, 0, 0, 20, 0, 0, 108, 0, 0, -84, 0, 0, -142, 0, 0, -46, 0, 0, -100, 0, 0, -144, 0, 0, -22, 0, 0, 78, 0, 0, 164, 0, 0, 144, 0, 0, 304, 0, 0, 44, 0, 0, 44, 0, 0, 96, 0, 0, 266, 0, 0, 0, 0, 0, 302, 0, 0, -120, 0, 0, -84, 0, 0, 26, 0, 0, -132, 0, 0, 372, 0, 0, -16, 0, 0, 12, 0, 0, 72, 0, 0, -504, 0, 0, 272, 0, 0, -102, 0, 0, -532, 0, 0, -24, 0, 0, 552, 0, 0, 20, 0, 0, -22, 0, 0, 264, 0, 0, -72, 0, 0, 82, 0, 0, 160, 0, 0, 0, 0, 0, -118, 0, 0, 24, 0, 0, -60, 0, 0, -96, 0, 0, -178, 0, 0, 152, 0, 0, -46, 0, 0, 18, 0, 0, 116, 0, 0, 12, 0, 0, -46, 0, 0, 96, 0, 0, -636, 0, 0, -72, 0, 0, -280, 0, 0, -96, 0, 0, -220, 0, 0, 36, 0, 0, 68, 0, 0, 36, 0, 0, -16, 0, 0, 98, 0, 0, 380, 0, 0, 84, 0, 0, 384, 0, 0, -2, 0, 0, 2, 0, 0, 120, 0, 0, -122, 0, 0, 284, 0, 0, -144, 0, 0, 48, 0, 0, 372, 0, 0, 96, 0, 0, -64, 0, 0, -72, 0, 0, 64, 0, 0, -216, 0, 0, -130, 0, 0, 84, 0, 0, 356, 0, 0, -10, 0, 0, -288, 0, 0, 60, 0, 0, -218, 0, 0, 188, 0, 0, 184, 0, 0, -264, 0, 0, -148, 0, 0, 72, 0, 0, 332, 0, 0, 12, 0, 0, -90, 0, 0, -40, 0, 0, 124, 0, 0, 48, 0, 0, 428, 0, 0, -30, 0, 0, -40, 0, 0, -78, 0, 0, 164, 0, 0, 26, 0, 0, -234, 0, 0, -48, 0, 0, -216, 0, 0, -24, 0, 0, 356, 0, 0, -408, 0, 0, 240, 0, 0, 2, 0, 0, -154, 0, 0, -24, 0, 0, -202, 0, 0, -30, 0, 0, -124, 0, 0, -240, 0, 0, -628, 0, 0, -24, 0, 0, 72, 0, 0, -48, 0, 0, -56, 0, 0, -36, 0, 0, -516, 0, 0, -120, 0, 0, 210, 0, 0, -124, 0, 0, -226, 0, 0, -396, 0, 0, -268, 0, 0, 14, 0, 0, -120, 0, 0, -264, 0, 0, -276, 0, 0, -32, 0, 0, -166, 0, 0, 192, 0, 0, 524, 0, 0, -192], '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: 654169
    {'conductor': 9, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '1134.2.h.c', 'source_level': 1134, 'target_char_orbit': 5, 'target_dim': 2, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '1134.2.e.d', 'target_level': 1134, 'twist_class_label': '1134.2.g.b', 'twist_class_level': 1134, 'twisting_char_label': '9.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 654170
    {'conductor': 21, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '1134.2.h.c', 'source_level': 1134, 'target_char_orbit': 5, 'target_dim': 2, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '1134.2.e.d', 'target_level': 1134, 'twist_class_label': '1134.2.g.b', 'twist_class_level': 1134, 'twisting_char_label': '21.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 654171
    {'conductor': 7, 'degree': 2, 'multiplicity': 1, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '1134.2.h.c', 'source_level': 1134, 'target_char_orbit': 5, 'target_dim': 2, 'target_hecke_orbit': 14, 'target_is_minimal': False, 'target_label': '1134.2.e.n', 'target_level': 1134, 'twist_class_label': '1134.2.g.b', 'twist_class_level': 1134, 'twisting_char_label': '7.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 654172
    {'conductor': 9, 'degree': 2, 'multiplicity': 1, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '1134.2.h.c', 'source_level': 1134, 'target_char_orbit': 5, 'target_dim': 2, 'target_hecke_orbit': 14, 'target_is_minimal': False, 'target_label': '1134.2.e.n', 'target_level': 1134, 'twist_class_label': '1134.2.g.b', 'twist_class_level': 1134, 'twisting_char_label': '9.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 654173
    {'conductor': 9, 'degree': 2, 'multiplicity': 1, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '1134.2.h.c', 'source_level': 1134, 'target_char_orbit': 7, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '1134.2.g.b', 'target_level': 1134, 'twist_class_label': '1134.2.g.b', 'twist_class_level': 1134, 'twisting_char_label': '9.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 654174
    {'conductor': 63, 'degree': 2, 'multiplicity': 1, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '1134.2.h.c', 'source_level': 1134, 'target_char_orbit': 7, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '1134.2.g.b', 'target_level': 1134, 'twist_class_label': '1134.2.g.b', 'twist_class_level': 1134, 'twisting_char_label': '63.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 654175
    {'conductor': 9, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '1134.2.h.c', 'source_level': 1134, 'target_char_orbit': 7, 'target_dim': 2, 'target_hecke_orbit': 7, 'target_is_minimal': True, 'target_label': '1134.2.g.g', 'target_level': 1134, 'twist_class_label': '1134.2.g.b', 'twist_class_level': 1134, 'twisting_char_label': '9.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 654176
    {'conductor': 63, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '1134.2.h.c', 'source_level': 1134, 'target_char_orbit': 7, 'target_dim': 2, 'target_hecke_orbit': 7, 'target_is_minimal': True, 'target_label': '1134.2.g.g', 'target_level': 1134, 'twist_class_label': '1134.2.g.b', 'twist_class_level': 1134, 'twisting_char_label': '63.j', 'twisting_char_orbit': 10, 'weight': 2}
  • id: 654177
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 8, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '1134.2.h.c', 'source_level': 1134, 'target_char_orbit': 8, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '1134.2.h.c', 'target_level': 1134, 'twist_class_label': '1134.2.g.b', 'twist_class_level': 1134, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 654178
    {'conductor': 63, 'degree': 2, 'multiplicity': 1, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '1134.2.h.c', 'source_level': 1134, 'target_char_orbit': 8, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '1134.2.h.c', 'target_level': 1134, 'twist_class_label': '1134.2.g.b', 'twist_class_level': 1134, 'twisting_char_label': '63.g', 'twisting_char_orbit': 7, 'weight': 2}
  • id: 654179
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '1134.2.h.c', 'source_level': 1134, 'target_char_orbit': 8, 'target_dim': 2, 'target_hecke_orbit': 13, 'target_is_minimal': False, 'target_label': '1134.2.h.m', 'target_level': 1134, 'twist_class_label': '1134.2.g.b', 'twist_class_level': 1134, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 654180
    {'conductor': 63, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '1134.2.h.c', 'source_level': 1134, 'target_char_orbit': 8, 'target_dim': 2, 'target_hecke_orbit': 13, 'target_is_minimal': False, 'target_label': '1134.2.h.m', 'target_level': 1134, 'twist_class_label': '1134.2.g.b', 'twist_class_level': 1134, 'twisting_char_label': '63.n', 'twisting_char_orbit': 14, 'weight': 2}
  • id: 654181
    {'conductor': 63, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '1134.2.h.c', 'source_level': 1134, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '7938.2.a.g', 'target_level': 7938, 'twist_class_label': '1134.2.g.b', 'twist_class_level': 1134, 'twisting_char_label': '63.n', 'twisting_char_orbit': 14, 'weight': 2}
  • id: 654182
    {'conductor': 63, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '1134.2.h.c', 'source_level': 1134, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '7938.2.a.h', 'target_level': 7938, 'twist_class_label': '1134.2.g.b', 'twist_class_level': 1134, 'twisting_char_label': '63.s', 'twisting_char_orbit': 19, 'weight': 2}
  • id: 654183
    {'conductor': 63, 'degree': 2, 'multiplicity': 1, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '1134.2.h.c', 'source_level': 1134, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 25, 'target_is_minimal': False, 'target_label': '7938.2.a.y', 'target_level': 7938, 'twist_class_label': '1134.2.g.b', 'twist_class_level': 1134, 'twisting_char_label': '63.g', 'twisting_char_orbit': 7, 'weight': 2}
  • id: 654184
    {'conductor': 63, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '1134.2.h.c', 'source_level': 1134, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 26, 'target_is_minimal': False, 'target_label': '7938.2.a.z', 'target_level': 7938, 'twist_class_label': '1134.2.g.b', 'twist_class_level': 1134, 'twisting_char_label': '63.k', 'twisting_char_orbit': 11, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1707975
    {'charpoly_factorization': [[[1, 1, 1], 1]], 'hecke_orbit_code': 9007680324633710, 'p': 2}
  • id: 1707976
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007680324633710, 'p': 3}
  • id: 1707977
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007680324633710, 'p': 5}
  • id: 1707978
    {'charpoly_factorization': [[[7, 4, 1], 1]], 'hecke_orbit_code': 9007680324633710, 'p': 7}
  • id: 1707979
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007680324633710, 'p': 11}
  • id: 1707980
    {'charpoly_factorization': [[[16, -4, 1], 1]], 'hecke_orbit_code': 9007680324633710, 'p': 13}
  • id: 1707981
    {'charpoly_factorization': [[[36, 6, 1], 1]], 'hecke_orbit_code': 9007680324633710, 'p': 17}
  • id: 1707982
    {'charpoly_factorization': [[[4, 2, 1], 1]], 'hecke_orbit_code': 9007680324633710, 'p': 19}
  • id: 1707983
    {'charpoly_factorization': [[[3, 1], 2]], 'hecke_orbit_code': 9007680324633710, 'p': 23}
  • id: 1707984
    {'charpoly_factorization': [[[36, -6, 1], 1]], 'hecke_orbit_code': 9007680324633710, 'p': 29}
  • id: 1707985
    {'charpoly_factorization': [[[25, 5, 1], 1]], 'hecke_orbit_code': 9007680324633710, 'p': 31}
  • id: 1707986
    {'charpoly_factorization': [[[64, 8, 1], 1]], 'hecke_orbit_code': 9007680324633710, 'p': 37}
  • id: 1707987
    {'charpoly_factorization': [[[9, 3, 1], 1]], 'hecke_orbit_code': 9007680324633710, 'p': 41}
  • id: 1707988
    {'charpoly_factorization': [[[4, 2, 1], 1]], 'hecke_orbit_code': 9007680324633710, 'p': 43}
  • id: 1707989
    {'charpoly_factorization': [[[9, -3, 1], 1]], 'hecke_orbit_code': 9007680324633710, 'p': 47}
  • id: 1707990
    {'charpoly_factorization': [[[36, 6, 1], 1]], 'hecke_orbit_code': 9007680324633710, 'p': 53}
  • id: 1707991
    {'charpoly_factorization': [[[144, 12, 1], 1]], 'hecke_orbit_code': 9007680324633710, 'p': 59}
  • id: 1707992
    {'charpoly_factorization': [[[64, 8, 1], 1]], 'hecke_orbit_code': 9007680324633710, 'p': 61}
  • id: 1707993
    {'charpoly_factorization': [[[64, 8, 1], 1]], 'hecke_orbit_code': 9007680324633710, 'p': 67}
  • id: 1707994
    {'charpoly_factorization': [[[15, 1], 2]], 'hecke_orbit_code': 9007680324633710, 'p': 71}
  • id: 1707995
    {'charpoly_factorization': [[[121, 11, 1], 1]], 'hecke_orbit_code': 9007680324633710, 'p': 73}
  • id: 1707996
    {'charpoly_factorization': [[[1, -1, 1], 1]], 'hecke_orbit_code': 9007680324633710, 'p': 79}
  • id: 1707997
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007680324633710, 'p': 83}
  • id: 1707998
    {'charpoly_factorization': [[[81, 9, 1], 1]], 'hecke_orbit_code': 9007680324633710, 'p': 89}
  • id: 1707999
    {'charpoly_factorization': [[[4, 2, 1], 1]], 'hecke_orbit_code': 9007680324633710, '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': 8, 'hecke_orbit': 3, 'label': '1134.2.h.c', 'level': 1134, 'portrait': 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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: 31045633
    {'hecke_orbit_code': 9007680324633710, 'n': 1, 'trace_an': 2}
  • id: 31045634
    {'hecke_orbit_code': 9007680324633710, 'n': 2, 'trace_an': -1}
  • id: 31045635
    {'hecke_orbit_code': 9007680324633710, 'n': 3, 'trace_an': 0}
  • id: 31045636
    {'hecke_orbit_code': 9007680324633710, 'n': 4, 'trace_an': -1}
  • id: 31045637
    {'hecke_orbit_code': 9007680324633710, 'n': 5, 'trace_an': 0}
  • id: 31045638
    {'hecke_orbit_code': 9007680324633710, 'n': 6, 'trace_an': 0}
  • id: 31045639
    {'hecke_orbit_code': 9007680324633710, 'n': 7, 'trace_an': -4}
  • id: 31045640
    {'hecke_orbit_code': 9007680324633710, 'n': 8, 'trace_an': 2}
  • id: 31045641
    {'hecke_orbit_code': 9007680324633710, 'n': 9, 'trace_an': 0}
  • id: 31045642
    {'hecke_orbit_code': 9007680324633710, 'n': 10, 'trace_an': 0}
  • id: 31045643
    {'hecke_orbit_code': 9007680324633710, 'n': 11, 'trace_an': 0}
  • id: 31045644
    {'hecke_orbit_code': 9007680324633710, 'n': 12, 'trace_an': 0}
  • id: 31045645
    {'hecke_orbit_code': 9007680324633710, 'n': 13, 'trace_an': 4}
  • id: 31045646
    {'hecke_orbit_code': 9007680324633710, 'n': 14, 'trace_an': -1}
  • id: 31045647
    {'hecke_orbit_code': 9007680324633710, 'n': 15, 'trace_an': 0}
  • id: 31045648
    {'hecke_orbit_code': 9007680324633710, 'n': 16, 'trace_an': -1}
  • id: 31045649
    {'hecke_orbit_code': 9007680324633710, 'n': 17, 'trace_an': -6}
  • id: 31045650
    {'hecke_orbit_code': 9007680324633710, 'n': 18, 'trace_an': 0}
  • id: 31045651
    {'hecke_orbit_code': 9007680324633710, 'n': 19, 'trace_an': -2}
  • id: 31045652
    {'hecke_orbit_code': 9007680324633710, 'n': 20, 'trace_an': 0}
  • id: 31045653
    {'hecke_orbit_code': 9007680324633710, 'n': 21, 'trace_an': 0}
  • id: 31045654
    {'hecke_orbit_code': 9007680324633710, 'n': 22, 'trace_an': 0}
  • id: 31045655
    {'hecke_orbit_code': 9007680324633710, 'n': 23, 'trace_an': -6}
  • id: 31045656
    {'hecke_orbit_code': 9007680324633710, 'n': 24, 'trace_an': 0}
  • id: 31045657
    {'hecke_orbit_code': 9007680324633710, 'n': 25, 'trace_an': -10}
  • id: 31045658
    {'hecke_orbit_code': 9007680324633710, 'n': 26, 'trace_an': 4}
  • id: 31045659
    {'hecke_orbit_code': 9007680324633710, 'n': 27, 'trace_an': 0}
  • id: 31045660
    {'hecke_orbit_code': 9007680324633710, 'n': 28, 'trace_an': 5}
  • id: 31045661
    {'hecke_orbit_code': 9007680324633710, 'n': 29, 'trace_an': 6}
  • id: 31045662
    {'hecke_orbit_code': 9007680324633710, 'n': 30, 'trace_an': 0}
  • id: 31045663
    {'hecke_orbit_code': 9007680324633710, 'n': 31, 'trace_an': -5}
  • id: 31045664
    {'hecke_orbit_code': 9007680324633710, 'n': 32, 'trace_an': -1}
  • id: 31045665
    {'hecke_orbit_code': 9007680324633710, 'n': 33, 'trace_an': 0}
  • id: 31045666
    {'hecke_orbit_code': 9007680324633710, 'n': 34, 'trace_an': -6}
  • id: 31045667
    {'hecke_orbit_code': 9007680324633710, 'n': 35, 'trace_an': 0}
  • id: 31045668
    {'hecke_orbit_code': 9007680324633710, 'n': 36, 'trace_an': 0}
  • id: 31045669
    {'hecke_orbit_code': 9007680324633710, 'n': 37, 'trace_an': -8}
  • id: 31045670
    {'hecke_orbit_code': 9007680324633710, 'n': 38, 'trace_an': 4}
  • id: 31045671
    {'hecke_orbit_code': 9007680324633710, 'n': 39, 'trace_an': 0}
  • id: 31045672
    {'hecke_orbit_code': 9007680324633710, 'n': 40, 'trace_an': 0}
  • id: 31045673
    {'hecke_orbit_code': 9007680324633710, 'n': 41, 'trace_an': -3}
  • id: 31045674
    {'hecke_orbit_code': 9007680324633710, 'n': 42, 'trace_an': 0}
  • id: 31045675
    {'hecke_orbit_code': 9007680324633710, 'n': 43, 'trace_an': -2}
  • id: 31045676
    {'hecke_orbit_code': 9007680324633710, 'n': 44, 'trace_an': 0}
  • id: 31045677
    {'hecke_orbit_code': 9007680324633710, 'n': 45, 'trace_an': 0}
  • id: 31045678
    {'hecke_orbit_code': 9007680324633710, 'n': 46, 'trace_an': 3}
  • id: 31045679
    {'hecke_orbit_code': 9007680324633710, 'n': 47, 'trace_an': 3}
  • id: 31045680
    {'hecke_orbit_code': 9007680324633710, 'n': 48, 'trace_an': 0}
  • id: 31045681
    {'hecke_orbit_code': 9007680324633710, 'n': 49, 'trace_an': 2}
  • id: 31045682
    {'hecke_orbit_code': 9007680324633710, 'n': 50, 'trace_an': 5}
  • id: 31045683
    {'hecke_orbit_code': 9007680324633710, 'n': 51, 'trace_an': 0}
  • id: 31045684
    {'hecke_orbit_code': 9007680324633710, 'n': 52, 'trace_an': -8}
  • id: 31045685
    {'hecke_orbit_code': 9007680324633710, 'n': 53, 'trace_an': -6}
  • id: 31045686
    {'hecke_orbit_code': 9007680324633710, 'n': 54, 'trace_an': 0}
  • id: 31045687
    {'hecke_orbit_code': 9007680324633710, 'n': 55, 'trace_an': 0}
  • id: 31045688
    {'hecke_orbit_code': 9007680324633710, 'n': 56, 'trace_an': -4}
  • id: 31045689
    {'hecke_orbit_code': 9007680324633710, 'n': 57, 'trace_an': 0}
  • id: 31045690
    {'hecke_orbit_code': 9007680324633710, 'n': 58, 'trace_an': -12}
  • id: 31045691
    {'hecke_orbit_code': 9007680324633710, 'n': 59, 'trace_an': -12}
  • id: 31045692
    {'hecke_orbit_code': 9007680324633710, 'n': 60, 'trace_an': 0}
  • id: 31045693
    {'hecke_orbit_code': 9007680324633710, 'n': 61, 'trace_an': -8}
  • id: 31045694
    {'hecke_orbit_code': 9007680324633710, 'n': 62, 'trace_an': 10}
  • id: 31045695
    {'hecke_orbit_code': 9007680324633710, 'n': 63, 'trace_an': 0}
  • id: 31045696
    {'hecke_orbit_code': 9007680324633710, 'n': 64, 'trace_an': 2}
  • id: 31045697
    {'hecke_orbit_code': 9007680324633710, 'n': 65, 'trace_an': 0}
  • id: 31045698
    {'hecke_orbit_code': 9007680324633710, 'n': 66, 'trace_an': 0}
  • id: 31045699
    {'hecke_orbit_code': 9007680324633710, 'n': 67, 'trace_an': -8}
  • id: 31045700
    {'hecke_orbit_code': 9007680324633710, 'n': 68, 'trace_an': 12}
  • id: 31045701
    {'hecke_orbit_code': 9007680324633710, 'n': 69, 'trace_an': 0}
  • id: 31045702
    {'hecke_orbit_code': 9007680324633710, 'n': 70, 'trace_an': 0}
  • id: 31045703
    {'hecke_orbit_code': 9007680324633710, 'n': 71, 'trace_an': -30}
  • id: 31045704
    {'hecke_orbit_code': 9007680324633710, 'n': 72, 'trace_an': 0}
  • id: 31045705
    {'hecke_orbit_code': 9007680324633710, 'n': 73, 'trace_an': -11}
  • id: 31045706
    {'hecke_orbit_code': 9007680324633710, 'n': 74, 'trace_an': 16}
  • id: 31045707
    {'hecke_orbit_code': 9007680324633710, 'n': 75, 'trace_an': 0}
  • id: 31045708
    {'hecke_orbit_code': 9007680324633710, 'n': 76, 'trace_an': -2}
  • id: 31045709
    {'hecke_orbit_code': 9007680324633710, 'n': 77, 'trace_an': 0}
  • id: 31045710
    {'hecke_orbit_code': 9007680324633710, 'n': 78, 'trace_an': 0}
  • id: 31045711
    {'hecke_orbit_code': 9007680324633710, 'n': 79, 'trace_an': 1}
  • id: 31045712
    {'hecke_orbit_code': 9007680324633710, 'n': 80, 'trace_an': 0}
  • id: 31045713
    {'hecke_orbit_code': 9007680324633710, 'n': 81, 'trace_an': 0}
  • id: 31045714
    {'hecke_orbit_code': 9007680324633710, 'n': 82, 'trace_an': -3}
  • id: 31045715
    {'hecke_orbit_code': 9007680324633710, 'n': 83, 'trace_an': 0}
  • id: 31045716
    {'hecke_orbit_code': 9007680324633710, 'n': 84, 'trace_an': 0}
  • id: 31045717
    {'hecke_orbit_code': 9007680324633710, 'n': 85, 'trace_an': 0}
  • id: 31045718
    {'hecke_orbit_code': 9007680324633710, 'n': 86, 'trace_an': 4}
  • id: 31045719
    {'hecke_orbit_code': 9007680324633710, 'n': 87, 'trace_an': 0}
  • id: 31045720
    {'hecke_orbit_code': 9007680324633710, 'n': 88, 'trace_an': 0}
  • id: 31045721
    {'hecke_orbit_code': 9007680324633710, 'n': 89, 'trace_an': -9}
  • id: 31045722
    {'hecke_orbit_code': 9007680324633710, 'n': 90, 'trace_an': 0}
  • id: 31045723
    {'hecke_orbit_code': 9007680324633710, 'n': 91, 'trace_an': 4}
  • id: 31045724
    {'hecke_orbit_code': 9007680324633710, 'n': 92, 'trace_an': 3}
  • id: 31045725
    {'hecke_orbit_code': 9007680324633710, 'n': 93, 'trace_an': 0}
  • id: 31045726
    {'hecke_orbit_code': 9007680324633710, 'n': 94, 'trace_an': 3}
  • id: 31045727
    {'hecke_orbit_code': 9007680324633710, 'n': 95, 'trace_an': 0}
  • id: 31045728
    {'hecke_orbit_code': 9007680324633710, 'n': 96, 'trace_an': 0}
  • id: 31045729
    {'hecke_orbit_code': 9007680324633710, 'n': 97, 'trace_an': -2}
  • id: 31045730
    {'hecke_orbit_code': 9007680324633710, 'n': 98, 'trace_an': 11}
  • id: 31045731
    {'hecke_orbit_code': 9007680324633710, 'n': 99, 'trace_an': 0}
  • id: 31045732
    {'hecke_orbit_code': 9007680324633710, 'n': 100, 'trace_an': 5}