Embedded newform data - 14.8.a.c.1.1

Formats: - HTML - YAML - JSON - 2026-03-13T23:54:25.507561

• 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': 896, 'analytic_conductor': 4.373390356777705, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [7, -1]], 'atkin_lehner_string': '--', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [14, 1, [3], [1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 1969, 'field_disc_factorization': [[11, 1], [179, 1]], 'field_poly': [-492, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[3, [-744, -70, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007199388958734, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '14.8.a.c', 'level': 14, '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': True, 'level_primes': [2, 7], 'level_radical': 14, 'minimal_twist': '14.8.a.c', 'nf_label': '2.2.1969.1', 'prim_orbit_index': 1, 'qexp_display': 'q+8q^{2}+(35-\\beta )q^{3}+2^{6}q^{4}+(63+9\\beta )q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '7.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '14.8.a', 'trace_display': [16, 70, 126, 686], 'trace_hash': 1068604695001942560, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.008', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.955', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '10.000', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '72.279', 'prec': 20}], 'trace_zratio': 0, 'traces': [2, 16, 70, 128, 126, 560, 686, 1024, 2014, 1008, -3420, 4480, -6398, 5488, -31032, 8192, -38472, 16112, -43358, 8064, 24010, -27360, 89928, 35840, 170666, -51184, 193060, 43904, 159576, -248256, -143612, 65536, -615888, -307776, 43218, 128896, -271832, -346864, 520352, 64512, 64848, 192080, 1527964, -218880, -2354058, 719424, 485436, 286720, 235298, 1365328, -1700940, -409472, -145716, 1544480, 4250232, 351232, -560596, 1276608, -4183662, -1986048, -280658, -1148896, 690802, 524288, -7101612, -4927104, 5671648, -2462208, 2155104, 345744, -619272, 1031168, 3939628, -2174656, 1507618, -2774912, -1173060, 4162816, 4656616, 516096, 7353742, 518784, 1235850, 1536640, 766044, 12223712, 15012732, -1751040, -17241420, -18832464, -2194514, 5755392, -7365592, 3883488, -11343960, 2293760, -740936, 1882384, -38177100, 10922624, 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• 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

  
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0.0], [0.43065159262985236, 0.0]], 'angles': [None, -0.2659769280524579, -0.09499562236247472, None, -0.17756240044422256, -0.38053921677644464, -0.3113896512447765, -0.34133316412846143, -0.17011732414326258, -0.2660482221887096, -0.2718730227502583, -0.4286008601180496, -0.19357778823685637, -0.11532369045084157, -0.31086666812398484, -0.27682238745907783, -0.36870010246789164, -0.2096718136210367, -0.07791287445981193, -0.23246467274508495, -0.21764704725341857, -0.10099223505069327, -0.14063809023500023, -0.3156182825391363, -0.2686168680603721, -0.053405419034234, -0.3161136237255706, -0.342774946106491, -0.21533682242147753, -0.31450319019466777, -0.25112299702292745, -0.2302160295247243, -0.2377639116732339, -0.34483271719364267, -0.22990223495834614, -0.2031944135050372, -0.27096499009440206, -0.38988210189536293, -0.2549490987285365, -0.33959133844997413, -0.1336745906504069, -0.24521962251958768, -0.2284342245125999, -0.3119766148591487, -0.15628754167685124, 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-0.30640821090400017, -0.30000196586982514, -0.21723911106951418, -0.33457021184133917, -0.4169362346553707, -0.24197013006734178, -0.20518539192500457, -0.11482793188589156, -0.2820508070026954, -0.0344592592280345, -0.3348527624013282, -0.27313912555998554, -0.21906266156541282, -0.11137138271039268, -0.388754195862077, -0.21428703622023587, -0.25192750662498603, -0.10483920928411589, -0.10487749949018232, -0.27400144829043643, -0.30139574315036494, -0.37756256405250277, -0.19055841678610397, -0.2238296250908109, -0.25176561914209644, -0.4419634822497684, -0.27567895985947743, -0.3061977783617993, -0.2531797252902122, -0.19433079912994577, -0.16408883406955577], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 22.68670773233379, 'hecke_orbit': 3, 'hecke_orbit_code': 9007199388958734, 'label': '14.8.a.c.1.1', 'level': 14, 'weight': 8}
• 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

  
  {'ALdims': [1, 0, 1, 2], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [1, 1, 1, 1], 'ALdims_old': [3, 2, 2, 1], 'Nk2': 896, 'analytic_conductor': 4.373390356777705, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [14, 1, [3], [1]], 'conrey_index': 1, 'cusp_dim': 12, 'dim': 4, 'eis_dim': 4, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 134217742, 'hecke_orbit_dims': [1, 1, 2], 'label': '14.8.a', 'level': 14, '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': True, 'level_primes': [2, 7], 'level_radical': 14, 'mf_dim': 16, 'mf_new_dim': 4, 'num_forms': 3, 'plus_dim': 3, 'prim_orbit_index': 1, 'relative_dim': 4, 'sturm_bound': 16, 'trace_bound': 2, 'trace_display': [16, -78, 174, 0], 'traces': [4, 16, -78, 256, 174, 688, 0, 1024, 8720, 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• 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: 40513988
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199388958734, 'source_is_minimal': True, 'source_label': '14.8.a.c.1.1', 'source_level': 14, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199388958734, 'target_is_minimal': True, 'target_label': '14.8.a.c.1.1', 'target_level': 14, 'twist_class_label': '14.8.a.c.1.1', 'twist_class_level': 14, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 8}
  • id: 40513989
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199388958734, 'source_is_minimal': True, 'source_label': '14.8.a.c.1.1', 'source_level': 14, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36028797153181822, 'target_is_minimal': False, 'target_label': '126.8.a.i.1.1', 'target_level': 126, 'twist_class_label': '14.8.a.c.1.1', 'twist_class_level': 14, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 8}
  • id: 40513990
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199388958734, 'source_is_minimal': True, 'source_label': '14.8.a.c.1.1', 'source_level': 14, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 27021597898440816, 'target_is_minimal': False, 'target_label': '112.8.a.g.1.2', 'target_level': 112, 'twist_class_label': '14.8.a.c.1.1', 'twist_class_level': 14, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 8}
  • id: 40513991
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199388958734, 'source_is_minimal': True, 'source_label': '14.8.a.c.1.1', 'source_level': 14, 'target_conrey_index': 99, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 45036133846876510, 'target_is_minimal': False, 'target_label': '350.8.c.k.99.4', 'target_level': 350, 'twist_class_label': '14.8.a.c.1.1', 'twist_class_level': 14, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 8}
  • id: 40513992
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199388958734, 'source_is_minimal': True, 'source_label': '14.8.a.c.1.1', 'source_level': 14, 'target_conrey_index': 99, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45036133846876510, 'target_is_minimal': False, 'target_label': '350.8.c.k.99.1', 'target_level': 350, 'twist_class_label': '14.8.a.c.1.1', 'twist_class_level': 14, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 8}
  • id: 40513993
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199388958734, 'source_is_minimal': True, 'source_label': '14.8.a.c.1.1', 'source_level': 14, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 40532396780552542, 'target_is_minimal': False, 'target_label': '350.8.a.j.1.2', 'target_level': 350, 'twist_class_label': '14.8.a.c.1.1', 'twist_class_level': 14, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 8}
  • id: 40513994
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199388958734, 'source_is_minimal': True, 'source_label': '14.8.a.c.1.1', 'source_level': 14, 'target_conrey_index': 67, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 27021735337394274, 'target_is_minimal': False, 'target_label': '98.8.c.g.67.2', 'target_level': 98, 'twist_class_label': '14.8.a.c.1.1', 'twist_class_level': 14, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 8}
  • id: 40513995
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199388958734, 'source_is_minimal': True, 'source_label': '14.8.a.c.1.1', 'source_level': 14, 'target_conrey_index': 79, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45036133846876258, 'target_is_minimal': False, 'target_label': '98.8.c.k.79.1', 'target_level': 98, 'twist_class_label': '14.8.a.c.1.1', 'twist_class_level': 14, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 8}
  • id: 40513996
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199388958734, 'source_is_minimal': True, 'source_label': '14.8.a.c.1.1', 'source_level': 14, 'target_conrey_index': 79, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 27021735337394274, 'target_is_minimal': False, 'target_label': '98.8.c.g.79.2', 'target_level': 98, 'twist_class_label': '14.8.a.c.1.1', 'twist_class_level': 14, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 8}
  • id: 40513997
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199388958734, 'source_is_minimal': True, 'source_label': '14.8.a.c.1.1', 'source_level': 14, 'target_conrey_index': 67, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45036133846876258, 'target_is_minimal': False, 'target_label': '98.8.c.k.67.1', 'target_level': 98, 'twist_class_label': '14.8.a.c.1.1', 'twist_class_level': 14, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 8}
  • id: 40513998
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199388958734, 'source_is_minimal': True, 'source_label': '14.8.a.c.1.1', 'source_level': 14, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 27021597898440802, 'target_is_minimal': False, 'target_label': '98.8.a.g.1.2', 'target_level': 98, 'twist_class_label': '14.8.a.c.1.1', 'twist_class_level': 14, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 8}
  • id: 40513999
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199388958734, 'source_is_minimal': True, 'source_label': '14.8.a.c.1.1', 'source_level': 14, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 81064793426887104, 'target_is_minimal': False, 'target_label': '448.8.a.s.1.1', 'target_level': 448, 'twist_class_label': '14.8.a.c.1.1', 'twist_class_level': 14, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 8}
  • id: 40514000
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199388958734, 'source_is_minimal': True, 'source_label': '14.8.a.c.1.1', 'source_level': 14, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 49539596035293632, 'target_is_minimal': False, 'target_label': '448.8.a.l.1.2', 'target_level': 448, 'twist_class_label': '14.8.a.c.1.1', 'twist_class_level': 14, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 8}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 57275
    {'charpoly_factorization': [[[-8, 1], 2]], 'hecke_orbit_code': 9007199388958734, 'p': 2}
  • id: 57276
    {'charpoly_factorization': [[[-744, -70, 1], 1]], 'hecke_orbit_code': 9007199388958734, 'p': 3}
  • id: 57277
    {'charpoly_factorization': [[[-155520, -126, 1], 1]], 'hecke_orbit_code': 9007199388958734, 'p': 5}
  • id: 57278
    {'charpoly_factorization': [[[-343, 1], 2]], 'hecke_orbit_code': 9007199388958734, 'p': 7}
  • id: 57279
    {'charpoly_factorization': [[[-28335744, 3420, 1], 1]], 'hecke_orbit_code': 9007199388958734, 'p': 11}
  • id: 57280
    {'charpoly_factorization': [[[-60101048, 6398, 1], 1]], 'hecke_orbit_code': 9007199388958734, 'p': 13}
  • id: 57281
    {'charpoly_factorization': [[[354074796, 38472, 1], 1]], 'hecke_orbit_code': 9007199388958734, 'p': 17}
  • id: 57282
    {'charpoly_factorization': [[[353711560, 43358, 1], 1]], 'hecke_orbit_code': 9007199388958734, 'p': 19}
  • id: 57283
    {'charpoly_factorization': [[[1896721920, -89928, 1], 1]], 'hecke_orbit_code': 9007199388958734, 'p': 23}
  • id: 57284
    {'charpoly_factorization': [[[-4918678740, -159576, 1], 1]], 'hecke_orbit_code': 9007199388958734, 'p': 29}
  • id: 57285
    {'charpoly_factorization': [[[4461367552, 143612, 1], 1]], 'hecke_orbit_code': 9007199388958734, 'p': 31}
  • id: 57286
    {'charpoly_factorization': [[[-157363463444, 271832, 1], 1]], 'hecke_orbit_code': 9007199388958734, 'p': 37}
  • id: 57287
    {'charpoly_factorization': [[[-74003569668, -64848, 1], 1]], 'hecke_orbit_code': 9007199388958734, 'p': 41}
  • id: 57288
    {'charpoly_factorization': [[[583387157728, -1527964, 1], 1]], 'hecke_orbit_code': 9007199388958734, 'p': 43}
  • id: 57289
    {'charpoly_factorization': [[[-540103776192, -485436, 1], 1]], 'hecke_orbit_code': 9007199388958734, 'p': 47}
  • id: 57290
    {'charpoly_factorization': [[[-79218330012, 145716, 1], 1]], 'hecke_orbit_code': 9007199388958734, 'p': 53}
  • id: 57291
    {'charpoly_factorization': [[[4373344023480, 4183662, 1], 1]], 'hecke_orbit_code': 9007199388958734, 'p': 59}
  • id: 57292
    {'charpoly_factorization': [[[-1039462897040, 280658, 1], 1]], 'hecke_orbit_code': 9007199388958734, 'p': 61}
  • id: 57293
    {'charpoly_factorization': [[[5763055131376, -5671648, 1], 1]], 'hecke_orbit_code': 9007199388958734, 'p': 67}
  • id: 57294
    {'charpoly_factorization': [[[-850548584448, 619272, 1], 1]], 'hecke_orbit_code': 9007199388958734, 'p': 71}
  • id: 57295
    {'charpoly_factorization': [[[3486040529620, -3939628, 1], 1]], 'hecke_orbit_code': 9007199388958734, 'p': 73}
  • id: 57296
    {'charpoly_factorization': [[[-16952152365440, -4656616, 1], 1]], 'hecke_orbit_code': 9007199388958734, 'p': 79}
  • id: 57297
    {'charpoly_factorization': [[[-35507978523864, -1235850, 1], 1]], 'hecke_orbit_code': 9007199388958734, 'p': 83}
  • id: 57298
    {'charpoly_factorization': [[[63487720577700, 17241420, 1], 1]], 'hecke_orbit_code': 9007199388958734, 'p': 89}
  • id: 57299
    {'charpoly_factorization': [[[-2847474625940, 740936, 1], 1]], 'hecke_orbit_code': 9007199388958734, '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': 1, 'hecke_orbit': 3, 'label': '14.8.a.c', 'level': 14, 'portrait': 'data:image/png;base64,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', 'weight': 8}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 29058517
    {'hecke_orbit_code': 9007199388958734, 'n': 1, 'trace_an': 2}
  • id: 29058518
    {'hecke_orbit_code': 9007199388958734, 'n': 2, 'trace_an': 16}
  • id: 29058519
    {'hecke_orbit_code': 9007199388958734, 'n': 3, 'trace_an': 70}
  • id: 29058520
    {'hecke_orbit_code': 9007199388958734, 'n': 4, 'trace_an': 128}
  • id: 29058521
    {'hecke_orbit_code': 9007199388958734, 'n': 5, 'trace_an': 126}
  • id: 29058522
    {'hecke_orbit_code': 9007199388958734, 'n': 6, 'trace_an': 560}
  • id: 29058523
    {'hecke_orbit_code': 9007199388958734, 'n': 7, 'trace_an': 686}
  • id: 29058524
    {'hecke_orbit_code': 9007199388958734, 'n': 8, 'trace_an': 1024}
  • id: 29058525
    {'hecke_orbit_code': 9007199388958734, 'n': 9, 'trace_an': 2014}
  • id: 29058526
    {'hecke_orbit_code': 9007199388958734, 'n': 10, 'trace_an': 1008}
  • id: 29058527
    {'hecke_orbit_code': 9007199388958734, 'n': 11, 'trace_an': -3420}
  • id: 29058528
    {'hecke_orbit_code': 9007199388958734, 'n': 12, 'trace_an': 4480}
  • id: 29058529
    {'hecke_orbit_code': 9007199388958734, 'n': 13, 'trace_an': -6398}
  • id: 29058530
    {'hecke_orbit_code': 9007199388958734, 'n': 14, 'trace_an': 5488}
  • id: 29058531
    {'hecke_orbit_code': 9007199388958734, 'n': 15, 'trace_an': -31032}
  • id: 29058532
    {'hecke_orbit_code': 9007199388958734, 'n': 16, 'trace_an': 8192}
  • id: 29058533
    {'hecke_orbit_code': 9007199388958734, 'n': 17, 'trace_an': -38472}
  • id: 29058534
    {'hecke_orbit_code': 9007199388958734, 'n': 18, 'trace_an': 16112}
  • id: 29058535
    {'hecke_orbit_code': 9007199388958734, 'n': 19, 'trace_an': -43358}
  • id: 29058536
    {'hecke_orbit_code': 9007199388958734, 'n': 20, 'trace_an': 8064}
  • id: 29058537
    {'hecke_orbit_code': 9007199388958734, 'n': 21, 'trace_an': 24010}
  • id: 29058538
    {'hecke_orbit_code': 9007199388958734, 'n': 22, 'trace_an': -27360}
  • id: 29058539
    {'hecke_orbit_code': 9007199388958734, 'n': 23, 'trace_an': 89928}
  • id: 29058540
    {'hecke_orbit_code': 9007199388958734, 'n': 24, 'trace_an': 35840}
  • id: 29058541
    {'hecke_orbit_code': 9007199388958734, 'n': 25, 'trace_an': 170666}
  • id: 29058542
    {'hecke_orbit_code': 9007199388958734, 'n': 26, 'trace_an': -51184}
  • id: 29058543
    {'hecke_orbit_code': 9007199388958734, 'n': 27, 'trace_an': 193060}
  • id: 29058544
    {'hecke_orbit_code': 9007199388958734, 'n': 28, 'trace_an': 43904}
  • id: 29058545
    {'hecke_orbit_code': 9007199388958734, 'n': 29, 'trace_an': 159576}
  • id: 29058546
    {'hecke_orbit_code': 9007199388958734, 'n': 30, 'trace_an': -248256}
  • id: 29058547
    {'hecke_orbit_code': 9007199388958734, 'n': 31, 'trace_an': -143612}
  • id: 29058548
    {'hecke_orbit_code': 9007199388958734, 'n': 32, 'trace_an': 65536}
  • id: 29058549
    {'hecke_orbit_code': 9007199388958734, 'n': 33, 'trace_an': -615888}
  • id: 29058550
    {'hecke_orbit_code': 9007199388958734, 'n': 34, 'trace_an': -307776}
  • id: 29058551
    {'hecke_orbit_code': 9007199388958734, 'n': 35, 'trace_an': 43218}
  • id: 29058552
    {'hecke_orbit_code': 9007199388958734, 'n': 36, 'trace_an': 128896}
  • id: 29058553
    {'hecke_orbit_code': 9007199388958734, 'n': 37, 'trace_an': -271832}
  • id: 29058554
    {'hecke_orbit_code': 9007199388958734, 'n': 38, 'trace_an': -346864}
  • id: 29058555
    {'hecke_orbit_code': 9007199388958734, 'n': 39, 'trace_an': 520352}
  • id: 29058556
    {'hecke_orbit_code': 9007199388958734, 'n': 40, 'trace_an': 64512}
  • id: 29058557
    {'hecke_orbit_code': 9007199388958734, 'n': 41, 'trace_an': 64848}
  • id: 29058558
    {'hecke_orbit_code': 9007199388958734, 'n': 42, 'trace_an': 192080}
  • id: 29058559
    {'hecke_orbit_code': 9007199388958734, 'n': 43, 'trace_an': 1527964}
  • id: 29058560
    {'hecke_orbit_code': 9007199388958734, 'n': 44, 'trace_an': -218880}
  • id: 29058561
    {'hecke_orbit_code': 9007199388958734, 'n': 45, 'trace_an': -2354058}
  • id: 29058562
    {'hecke_orbit_code': 9007199388958734, 'n': 46, 'trace_an': 719424}
  • id: 29058563
    {'hecke_orbit_code': 9007199388958734, 'n': 47, 'trace_an': 485436}
  • id: 29058564
    {'hecke_orbit_code': 9007199388958734, 'n': 48, 'trace_an': 286720}
  • id: 29058565
    {'hecke_orbit_code': 9007199388958734, 'n': 49, 'trace_an': 235298}
  • id: 29058566
    {'hecke_orbit_code': 9007199388958734, 'n': 50, 'trace_an': 1365328}
  • id: 29058567
    {'hecke_orbit_code': 9007199388958734, 'n': 51, 'trace_an': -1700940}
  • id: 29058568
    {'hecke_orbit_code': 9007199388958734, 'n': 52, 'trace_an': -409472}
  • id: 29058569
    {'hecke_orbit_code': 9007199388958734, 'n': 53, 'trace_an': -145716}
  • id: 29058570
    {'hecke_orbit_code': 9007199388958734, 'n': 54, 'trace_an': 1544480}
  • id: 29058571
    {'hecke_orbit_code': 9007199388958734, 'n': 55, 'trace_an': 4250232}
  • id: 29058572
    {'hecke_orbit_code': 9007199388958734, 'n': 56, 'trace_an': 351232}
  • id: 29058573
    {'hecke_orbit_code': 9007199388958734, 'n': 57, 'trace_an': -560596}
  • id: 29058574
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    {'hecke_orbit_code': 9007199388958734, 'n': 883, 'trace_an': 5443870072}
  • id: 29058759
    {'hecke_orbit_code': 9007199388958734, 'n': 887, 'trace_an': 13103662572}
  • id: 29058760
    {'hecke_orbit_code': 9007199388958734, 'n': 907, 'trace_an': 17544964552}
  • id: 29058761
    {'hecke_orbit_code': 9007199388958734, 'n': 911, 'trace_an': 63827396448}
  • id: 29058762
    {'hecke_orbit_code': 9007199388958734, 'n': 919, 'trace_an': 1731653104}
  • id: 29058763
    {'hecke_orbit_code': 9007199388958734, 'n': 929, 'trace_an': 29046141768}
  • id: 29058764
    {'hecke_orbit_code': 9007199388958734, 'n': 937, 'trace_an': -22997505524}
  • id: 29058765
    {'hecke_orbit_code': 9007199388958734, 'n': 941, 'trace_an': 7980877086}
  • id: 29058766
    {'hecke_orbit_code': 9007199388958734, 'n': 947, 'trace_an': 49919569860}
  • id: 29058767
    {'hecke_orbit_code': 9007199388958734, 'n': 953, 'trace_an': -20139704028}
  • id: 29058768
    {'hecke_orbit_code': 9007199388958734, 'n': 961, 'trace_an': -43323556782}
  • id: 29058769
    {'hecke_orbit_code': 9007199388958734, 'n': 967, 'trace_an': -36428745608}
  • id: 29058770
    {'hecke_orbit_code': 9007199388958734, 'n': 971, 'trace_an': 23992073826}
  • id: 29058771
    {'hecke_orbit_code': 9007199388958734, 'n': 977, 'trace_an': -1738174260}
  • id: 29058772
    {'hecke_orbit_code': 9007199388958734, 'n': 983, 'trace_an': -8545223988}
  • id: 29058773
    {'hecke_orbit_code': 9007199388958734, 'n': 991, 'trace_an': -26139211088}
  • id: 29058774
    {'hecke_orbit_code': 9007199388958734, 'n': 997, 'trace_an': 36341545030}