Embedded newform data - 1800.4.f.s.649.1

Formats: - HTML - YAML - JSON - 2024-04-25T14:48:51.903491

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 28800, 'analytic_conductor': 106.2034380103331, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 2, 'char_parity': 1, 'char_values': [1800, 2, [1351, 901, 1001, 577], [2, 2, 2, 1]], 'cm_discs': [], 'conrey_index': 649, 'conrey_indexes': [649], 'dim': 2, 'field_disc': -4, 'field_disc_factorization': [[-1, 1], [2, 2]], 'field_poly': [1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 4, 'has_non_self_twist': 1, 'hecke_cutters': [[7, [324, 0, 1]], [11, [-34, 1]]], 'hecke_orbit': 19, 'hecke_orbit_code': 81065136957163272, 'hecke_ring_generator_nbound': 37, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 2, 1, 2, 0]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1800.4.f.s', 'level': 1800, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'minimal_twist': '360.4.a.a', 'nf_label': '2.0.4.1', 'prim_orbit_index': 2, 'qexp_display': 'q+9iq^{7}+34q^{11}+6iq^{13}+51iq^{17}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '3.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1800.4.f', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1918910607551200571, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.831', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '14.158', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '138.301', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.508', 'prec': 17}, 'traces': [2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 68, 0, 0, 0, 0, 0, 0, 0, -328, 0, 0, 0, 0, 0, 0, 0, 0, 0, -292, 0, 200, 0, 0, 0, 0, 0, 0, 0, 0, 0, -576, 0, 0, 0, 0, 0, 0, 0, 38, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1284, 0, 1204, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1304, 0, 0, 0, 0, 0, 0, 0, -776, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1640, 0, -432, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1596, 0, 0, 0, 0, 0, 0, 0, 396, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3672, 0, -350, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4196, 0, 0, 0, 0, 0, 0, 0, 1000, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4604, 0, -4768, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1728, 0, 0, 0, 0, 0, 0, 0, 4106, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3492, 0, -2540, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5352, 0, 0, 0, 0, 0, 0, 0, 2784, 0, 0, 0, 0, 0, 0, 0, 0, 0, -11152, 0, -1080, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2448, 0, 0, 0, 0, 0, 0, 0, -8908, 0, 0, 0, 0, 0, 0, 0, 0, 0, -13656, 0, 11564, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12788, 0, 0, 0, 0, 0, 0, 0, 11808, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16596, 0, 3696, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3880, 0, 0, 0, 0, 0, 0, 0, -10982, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1152, 0, -4320, 0, 0, 0, 0, 0, 0, 0, 0, 0, -9832, 0, 0, 0, 0, 0, 0, 0, -9928, 0, 0, 0, 0, 0, 0, 0, 0, 0, 576, 0, -12920, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6800, 0, 0, 0, 0, 0, 0, 0, 1724, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12432, 0, 40074, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4536, 0, 0, 0, 0, 0, 0, 0, -26648, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4044, 0, -9792, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2296, 0, 0, 0, 0, 0, 0, 0, 12620, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26724, 0, -10292, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12736, 0, 0, 0, 0, 0, 0, 0, 8848, 0, 0, 0, 0, 0, 0, 0, 0, 0, -33768, 0, -19584, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12244, 0, 0, 0, 0, 0, 0, 0, 15696, 0, 0, 0, 0, 0, 0, 0, 0, 0, -19576, 0, 7872, 0, 0, 0, 0, 0, 0, 0, 0, 0, -13380, 0, 0, 0, 0, 0, 0, 0, 41272, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4460, 0, -38232, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2520, 0, 0, 0, 0, 0, 0, 0, 19726, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1292, 0, 39108, 0, 0, 0, 0, 0, 0, 0, 0, 0, 47888, 0, 0, 0, 0, 0, 0, 0, -2880, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48312, 0, -4440, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15984, 0, 0, 0, 0, 0, 0, 0, -32800, 0, 0, 0, 0, 0, 0, 0, 0, 0, -18032, 0, -37364, 0, 0, 0, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, -8344, 0, 0, 0, 0, 0, 0, 0, 0, 0, 66912, 0, -23144, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1872, 0, 0, 0, 0, 0, 0, 0, -43656, 0, 0, 0, 0, 0, 0, 0, 0, 0, -13516, 0, 50196, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40936, 0, 0, 0, 0, 0, 0, 0, -27576, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3024, 0, -1624, 0, 0, 0, 0, 0, 0, 0, 0, 0, -60540, 0, 0, 0, 0, 0, 0, 0, 788, 0, 0, 0, 0, 0, 0, 0, 0, 0, 74448, 0, 14472, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24480, 0, 0, 0, 0, 0, 0, 0, 37544, 0, 0, 0, 0, 0, 0, 0, 0, 0, 51984, 0, 60184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21896, 0, 0, 0, 0, 0, 0, 0, -2844, 0, 0, 0, 0, 0, 0, 0, 0, 0, 94464, 0, 44336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72360, 0, 0, 0, 0, 0, 0, 0, 3264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 34608, 0, -56024, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64532, 0, 0, 0, 0, 0, 0, 0, 16348, 0, 0, 0, 0, 0, 0, 0, 0, 0, 56480, 0, -6146, 0, 0, 0, 0, 0, 0, 0, 0, 0, 31488, 0, 0, 0, 0, 0, 0, 0, 22120, 0, 0, 0, 0, 0, 0, 0, 0, 0, -26384, 0, 10464, 0, 0, 0, 0, 0, 0, 0, 0, 0, -13192, 0, 0, 0, 0, 0, 0, 0, -31176, 0, 0, 0, 0, 0, 0, 0, 0, 0, -29200, 0, 25704, 0, 0, 0, 0, 0, 0, 0, 0, 0, -83520, 0, 0, 0, 0, 0, 0, 0, -68200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 45624, 0, -6232, 0, 0, 0, 0, 0, 0, 0, 0, 0, 105532, 0, 0, 0, 0, 0, 0, 0, -25488, 0, 0, 0, 0, 0, 0, 0, 0, 0, 31896, 0, -39582, 0, 0, 0, 0, 0, 0, 0, 0, 0, -39876, 0, 0, 0, 0, 0, 0, 0, 55760, 0, 0, 0, 0, 0, 0, 0, 0, 0, -11520, 0, -66496, 0, 0, 0, 0, 0, 0, 0, 0, 0, -14688, 0, 0, 0, 0, 0, 0, 0, -3020, 0, 0, 0, 0, 0, 0, 0, 0, 0, -11908, 0, -69220, 0, 0, 0, 0, 0, 0, 0, 0, 0, -73776, 0, 0, 0, 0, 0, 0, 0, 5496, 0, 0, 0, 0, 0, 0, 0, 0, 0, -7352, 0, 31592, 0, 0, 0, 0, 0, 0, 0, 0, 0, -17588, 0, 0, 0, 0, 0, 0, 0, 112324, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10656, 0, 1536, 0, 0, 0, 0, 0, 0, 0, 0, 0, 126380, 0, 0, 0, 0, 0, 0, 0, 52272, 0, 0, 0, 0, 0, 0, 0, 0, 0, -46812, 0, -54264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 210576, 0, 0, 0, 0, 0, 0, 0, 123188, 0, 0, 0, 0, 0, 0, 0, 0, 0, 88944, 0, -21744, 0, 0, 0, 0, 0, 0, 0, 0, 0, -109192, 0, 0, 0, 0, 0, 0, 0, -197456, 0, 0, 0, 0, 0, 0, 0, 0, 0, -23904, 0, 50760, 0, 0, 0, 0, 0, 0, 0, 0, 0, -117812, 0, 0, 0, 0, 0, 0, 0, 84096, 0, 0, 0, 0, 0, 0, 0, 0, 0, 13464, 0, -11324, 0, 0, 0, 0, 0, 0, 0, 0, 0, 148248, 0, 0, 0, 0, 0, 0, 0, 12096, 0, 0, 0, 0, 0, 0, 0, 0, 0, 61268, 0, 117832, 0, 0, 0, 0, 0, 0, 0, 0, 0, -216648, 0, 0, 0, 0, 0, 0, 0, -82332, 0, 0, 0, 0, 0, 0, 0, 0, 0, -149700, 0, -18384, 0, 0, 0, 0, 0, 0, 0, 0, 0, -57600, 0, 0, 0, 0, 0, 0, 0, 76408, 0, 0, 0, 0, 0, 0, 0, 0, 0, 11208, 0, -2296, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5796, 0, 0, 0, 0, 0, 0, 0, -124848, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80904, 0, 57348, 0, 0, 0, 0, 0, 0, 0, 0, 0, -102408, 0, 0, 0, 0, 0, 0, 0, 9648, 0, 0, 0, 0, 0, 0, 0, 0, 0, -213856, 0, 113256, 0, 0, 0, 0, 0, 0, 0, 0, 0, -41416, 0, 0, 0, 0, 0, 0, 0, -113862, 0, 0, 0, 0, 0, 0, 0, 0, 0, -132264, 0, -92324, 0, 0, 0, 0, 0, 0, 0, 0, 0, 34656, 0, 0, 0, 0, 0, 0, 0, -130640, 0, 0, 0, 0, 0, 0, 0, 0, 0, -44944, 0, 90576, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5548, 0, 0, 0, 0, 0, 0, 0, -156060, 0, 0, 0, 0, 0, 0, 0, 0, 0, -152208, 0, -142664, 0, 0, 0, 0, 0, 0, 0, 0, 0, 151092, 0, 0, 0, 0, 0, 0, 0, 142616, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48240, 0, 67792, 0, 0, 0, 0, 0, 0, 0, 0, 0, 22216, 0, 0, 0, 0, 0, 0, 0, 70844, 0, 0, 0, 0, 0, 0, 0, 0, 0, -159236, 0, 127264, 0, 0, 0, 0, 0, 0, 0, 0, 0, -92264, 0, 0, 0, 0, 0, 0, 0, 3800, 0, 0, 0, 0, 0, 0, 0, 0, 0, 34000, 0, 10136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 41856, 0, 0, 0, 0, 0, 0, 0, 41660, 0, 0, 0, 0, 0, 0, 0, 0, 0, -140088, 0, -149976, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72204, 0, 0, 0, 0, 0, 0, 0, 67000, 0, 0, 0, 0, 0, 0, 0, 0, 0, -180864, 0, 78720, 0, 0, 0, 0, 0, 0, 0, 0, 0, -62976, 0, 0, 0, 0, 0, 0, 0, 107068, 0, 0, 0, 0, 0, 0, 0, 0, 0, -213516, 0, -192524, 0, 0, 0, 0, 0, 0, 0, 0, 0, 54936, 0, 0, 0, 0, 0, 0, 0, -156536, 0, 0, 0, 0, 0, 0, 0, 0, 0, -156264, 0, -20784, 0, 0, 0, 0, 0, 0, 0, 0, 0, -162112, 0, 0, 0, 0, 0, 0, 0, -572, 0, 0, 0, 0, 0, 0, 0, 0, 0, -101952, 0, 28046, 0, 0, 0, 0, 0, 0, 0, 0, 0, -268960, 0, 0, 0, 0, 0, 0, 0, 46408, 0, 0, 0, 0, 0, 0, 0, 0, 0, 191460, 0, 187464, 0, 0, 0, 0, 0, 0, 0, 0, 0, -164592, 0, 0, 0, 0, 0, 0, 0, 70848, 0, 0, 0, 0, 0, 0, 0, 0, 0, -10496, 0, -115908, 0, 0, 0, 0, 0, 0, 0, 0, 0, 82008, 0, 0, 0, 0, 0, 0, 0, 7048, 0, 0, 0, 0, 0, 0, 0, 0, 0, -175784, 0, -58752, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21264, 0, 0, 0, 0, 0, 0, 0, 156332, 0, 0, 0, 0, 0, 0, 0, 0, 0, 67032, 0, -220108, 0, 0, 0, 0, 0, 0, 0, 0, 0, 66732, 0, 0, 0, 0, 0, 0, 0, 294576, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128400, 0, -15344, 0, 0, 0, 0, 0, 0, 0, 0, 0, 234144, 0, 0, 0, 0, 0, 0, 0, 130214, 0, 0, 0, 0, 0, 0, 0, 0, 0, 139604, 0, -155732, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27448, 0, 0, 0, 0, 0, 0, 0, -284352, 0, 0, 0, 0, 0, 0, 0, 0, 0, -167456, 0, 120400, 0, 0, 0, 0, 0, 0, 0, 0, 0, 57068, 0, 0, 0, 0, 0, 0, 0, 42624, 0, 0, 0, 0, 0, 0, 0, 0, 0, 261744, 0, 410040, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64836, 0, 0, 0, 0, 0, 0, 0, 101664, 0, 0, 0, 0, 0, 0, 0, 0, 0, 233988, 0, -253912, 0, 0, 0, 0, 0, 0, 0, 0, 0, -82656, 0, 0, 0, 0, 0, 0, 0, -118728, 0, 0, 0, 0, 0, 0, 0, 0, 0, 100332, 0, -235728, 0, 0, 0, 0, 0, 0, 0, 0, 0, -86360, 0, 0, 0, 0, 0, 0, 0, -222672, 0], 'weight': 4, '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

  
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649, 'dual_conrey_index': 649, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': -1.0, 'embedding_root_real': 0.0, 'hecke_orbit': 19, 'hecke_orbit_code': 81065136957163272, 'label': '1800.4.f.s.649.1', 'level': 1800, 'weight': 4}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  ALdims	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_prime	boolean
  level_is_prime_power	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': 28800, 'analytic_conductor': 106.2034380103331, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 2, 'char_parity': 1, 'char_values': [1800, 2, [1351, 901, 1001, 577], [2, 2, 2, 1]], 'conrey_index': 649, 'cusp_dim': 1032, 'dim': 68, 'eis_dim': 96, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11], 'hecke_orbit_code': 343664494344, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 6, 6], 'label': '1800.4.f', 'level': 1800, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'mf_dim': 1128, 'mf_new_dim': 68, 'num_forms': 28, 'prim_orbit_index': 2, 'relative_dim': 68, 'sturm_bound': 1440, 'trace_bound': 29, 'trace_display': [0, 0, 0, 0], 'traces': [68, 0, 0, 0, 0, 0, 0, 0, 0, 0, 38, 0, 0, 0, 0, 0, 0, 0, 46, 0, 0, 0, 0, 0, 0, 0, 0, 0, -188, 0, 492, 0, 0, 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0, 0, 0, 0, -150520, 0, 0, 0, 0, 0, 0, 0, -330684, 0, 0, 0, 0, 0, 0, 0, 0, 0, -27120, 0, -346498, 0, 0, 0, 0, 0, 0, 0, 0, 0, 55528, 0, 0, 0, 0, 0, 0, 0, 3528, 0, 0, 0, 0, 0, 0, 0, 0, 0, 219572, 0, 110222, 0, 0, 0, 0, 0, 0, 0, 0, 0, 336536, 0, 0, 0, 0, 0, 0, 0, 40008, 0, 0, 0, 0, 0, 0, 0, 0, 0, -122856, 0, 566376, 0, 0, 0, 0, 0, 0, 0, 0, 0, 267102, 0, 0, 0, 0, 0, 0, 0, 96482, 0, 0, 0, 0, 0, 0, 0, 0, 0, 129528, 0, 365552, 0, 0, 0, 0, 0, 0, 0, 0, 0, -554100, 0, 0, 0, 0, 0, 0, 0, -147020, 0, 0, 0, 0, 0, 0, 0, 0, 0, -365520, 0, -118944, 0, 0, 0, 0, 0, 0, 0, 0, 0, 30016, 0, 0, 0, 0, 0, 0, 0, 115028, 0, 0, 0, 0, 0, 0, 0, 0, 0, 390364, 0, -352030, 0, 0, 0, 0, 0, 0, 0, 0, 0, 266922, 0, 0, 0, 0, 0, 0, 0, -246912, 0, 0, 0, 0, 0, 0, 0, 0, 0, -315096, 0, 165020, 0, 0, 0, 0, 0, 0, 0, 0, 0, 82366, 0, 0, 0, 0, 0, 0, 0, -26924, 0, 0, 0, 0, 0, 0, 0, 0, 0, 209312, 0, 125104, 0, 0, 0, 0, 0, 0, 0, 0, 0, -684840, 0, 0, 0, 0, 0, 0, 0, -461536, 0, 0, 0, 0, 0, 0, 0, 0, 0, -480566, 0, 75486, 0, 0, 0, 0, 0, 0, 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0, 0, 0, 0, 425682, 0, 0, 0, 0, 0, 0, 0, -249346, 0, 0, 0, 0, 0, 0, 0, 0, 0, -609128, 0, -346432, 0, 0, 0, 0, 0, 0, 0, 0, 0, 241200, 0, 0, 0, 0, 0, 0, 0, 161320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 42480, 0, 46692, 0, 0, 0, 0, 0, 0, 0, 0, 0, -791576, 0, 0, 0, 0, 0, 0, 0, -254136, 0, 0, 0, 0, 0, 0, 0, 0, 0, -405584, 0, 627560, 0, 0, 0, 0, 0, 0, 0, 0, 0, 453704, 0, 0, 0, 0, 0, 0, 0, 373828, 0, 0, 0, 0, 0, 0, 0, 0, 0, 462504, 0, 160232, 0, 0, 0, 0, 0, 0, 0, 0, 0, 566982, 0, 0, 0, 0, 0, 0, 0, 291254, 0, 0, 0, 0, 0, 0, 0, 0, 0, -522520, 0, 791564, 0, 0, 0, 0, 0, 0, 0, 0, 0, 253032, 0, 0, 0, 0, 0, 0, 0, -253628, 0, 0, 0, 0, 0, 0, 0, 0, 0, 423990, 0, -991900, 0, 0, 0, 0, 0, 0, 0, 0, 0, -569224, 0, 0, 0, 0, 0, 0, 0, -1054256, 0, 0, 0, 0, 0, 0, 0, 0, 0, -320856, 0, -594800, 0, 0, 0, 0, 0, 0, 0, 0, 0, -81520, 0, 0, 0, 0, 0, 0, 0, 539412, 0, 0, 0, 0, 0, 0, 0, 0, 0, 54348, 0, -302550, 0, 0, 0, 0, 0, 0, 0, 0, 0, 264594, 0, 0, 0, 0, 0, 0, 0, 88744, 0, 0, 0, 0, 0, 0, 0, 0, 0, 413904, 0, 1150652, 0, 0, 0, 0, 0, 0, 0, 0, 0, 156960, 0, 0, 0, 0, 0, 0, 0, 529042, 0, 0, 0, 0, 0, 0, 0, 0, 0, -126992, 0, 786092, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1137932, 0, 0, 0, 0, 0, 0, 0, 171992, 0], 'weight': 4, '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: 48236744
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 649, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 81065136957163272, 'source_is_minimal': False, 'source_label': '1800.4.f.s.649.1', 'source_level': 1800, 'target_conrey_index': 649, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 81065136957163272, 'target_is_minimal': False, 'target_label': '1800.4.f.s.649.1', 'target_level': 1800, 'twist_class_label': '360.4.a.a.1.1', 'twist_class_level': 360, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 48236745
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 649, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 81065136957163272, 'source_is_minimal': False, 'source_label': '1800.4.f.s.649.1', 'source_level': 1800, 'target_conrey_index': 649, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014742173976328, 'target_is_minimal': False, 'target_label': '1800.4.f.e.649.1', 'target_level': 1800, 'twist_class_label': '360.4.a.a.1.1', 'twist_class_level': 360, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48236746
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 649, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 81065136957163272, 'source_is_minimal': False, 'source_label': '1800.4.f.s.649.1', 'source_level': 1800, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 135107988888225544, 'target_is_minimal': False, 'target_label': '1800.4.a.be.1.1', 'target_level': 1800, 'twist_class_label': '360.4.a.a.1.1', 'twist_class_level': 360, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48236747
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 649, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 81065136957163272, 'source_is_minimal': False, 'source_label': '1800.4.f.s.649.1', 'source_level': 1800, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532396713443688, 'target_is_minimal': True, 'target_label': '360.4.a.j.1.1', 'target_level': 360, 'twist_class_label': '360.4.a.a.1.1', 'twist_class_level': 360, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 48236748
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 649, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 81065136957163272, 'source_is_minimal': False, 'source_label': '1800.4.f.s.649.1', 'source_level': 1800, 'target_conrey_index': 649, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 81065136957163272, 'target_is_minimal': False, 'target_label': '1800.4.f.s.649.2', 'target_level': 1800, 'twist_class_label': '360.4.a.a.1.1', 'twist_class_level': 360, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 4}
  • id: 48236749
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 649, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 81065136957163272, 'source_is_minimal': False, 'source_label': '1800.4.f.s.649.1', 'source_level': 1800, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 126100789633484552, 'target_is_minimal': False, 'target_label': '1800.4.a.bc.1.1', 'target_level': 1800, 'twist_class_label': '360.4.a.a.1.1', 'twist_class_level': 360, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48236750
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 649, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 81065136957163272, 'source_is_minimal': False, 'source_label': '1800.4.f.s.649.1', 'source_level': 1800, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67109224, 'target_is_minimal': True, 'target_label': '360.4.a.a.1.1', 'target_level': 360, 'twist_class_label': '360.4.a.a.1.1', 'twist_class_level': 360, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 4}
  • id: 48236751
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 649, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 81065136957163272, 'source_is_minimal': False, 'source_label': '1800.4.f.s.649.1', 'source_level': 1800, 'target_conrey_index': 649, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18014742173976328, 'target_is_minimal': False, 'target_label': '1800.4.f.e.649.2', 'target_level': 1800, 'twist_class_label': '360.4.a.a.1.1', 'twist_class_level': 360, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 4}
  • id: 48236752
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 649, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 81065136957163272, 'source_is_minimal': False, 'source_label': '1800.4.f.s.649.1', 'source_level': 1800, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 112589990751371984, 'target_is_minimal': False, 'target_label': '720.4.a.z.1.1', 'target_level': 720, 'twist_class_label': '360.4.a.a.1.1', 'twist_class_level': 360, 'twisting_char_label': '20.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 48236753
    {'conductor': 60, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 649, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 81065136957163272, 'source_is_minimal': False, 'source_label': '1800.4.f.s.649.1', 'source_level': 1800, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 54043195595555536, 'target_is_minimal': False, 'target_label': '720.4.a.m.1.1', 'target_level': 720, 'twist_class_label': '360.4.a.a.1.1', 'twist_class_level': 360, 'twisting_char_label': '60.23', 'twisting_conrey_index': 23, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2220050
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 81065136957163272, 'p': 2}
  • id: 2220051
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 81065136957163272, 'p': 3}
  • id: 2220052
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 81065136957163272, 'p': 5}
  • id: 2220053
    {'charpoly_factorization': [[[324, 0, 1], 1]], 'hecke_orbit_code': 81065136957163272, 'p': 7}
  • id: 2220054
    {'charpoly_factorization': [[[-34, 1], 2]], 'hecke_orbit_code': 81065136957163272, 'p': 11}
  • id: 2220055
    {'charpoly_factorization': [[[144, 0, 1], 1]], 'hecke_orbit_code': 81065136957163272, 'p': 13}
  • id: 2220056
    {'charpoly_factorization': [[[10404, 0, 1], 1]], 'hecke_orbit_code': 81065136957163272, 'p': 17}
  • id: 2220057
    {'charpoly_factorization': [[[164, 1], 2]], 'hecke_orbit_code': 81065136957163272, 'p': 19}
  • id: 2220058
    {'charpoly_factorization': [[[2304, 0, 1], 1]], 'hecke_orbit_code': 81065136957163272, 'p': 23}
  • id: 2220059
    {'charpoly_factorization': [[[146, 1], 2]], 'hecke_orbit_code': 81065136957163272, 'p': 29}
  • id: 2220060
    {'charpoly_factorization': [[[-100, 1], 2]], 'hecke_orbit_code': 81065136957163272, 'p': 31}
  • id: 2220061
    {'charpoly_factorization': [[[107584, 0, 1], 1]], 'hecke_orbit_code': 81065136957163272, 'p': 37}
  • id: 2220062
    {'charpoly_factorization': [[[288, 1], 2]], 'hecke_orbit_code': 81065136957163272, 'p': 41}
  • id: 2220063
    {'charpoly_factorization': [[[14400, 0, 1], 1]], 'hecke_orbit_code': 81065136957163272, 'p': 43}
  • id: 2220064
    {'charpoly_factorization': [[[256, 0, 1], 1]], 'hecke_orbit_code': 81065136957163272, 'p': 47}
  • id: 2220065
    {'charpoly_factorization': [[[15876, 0, 1], 1]], 'hecke_orbit_code': 81065136957163272, 'p': 53}
  • id: 2220066
    {'charpoly_factorization': [[[642, 1], 2]], 'hecke_orbit_code': 81065136957163272, 'p': 59}
  • id: 2220067
    {'charpoly_factorization': [[[-602, 1], 2]], 'hecke_orbit_code': 81065136957163272, 'p': 61}
  • id: 2220068
    {'charpoly_factorization': [[[190096, 0, 1], 1]], 'hecke_orbit_code': 81065136957163272, 'p': 67}
  • id: 2220069
    {'charpoly_factorization': [[[-652, 1], 2]], 'hecke_orbit_code': 81065136957163272, 'p': 71}
  • id: 2220070
    {'charpoly_factorization': [[[1127844, 0, 1], 1]], 'hecke_orbit_code': 81065136957163272, 'p': 73}
  • id: 2220071
    {'charpoly_factorization': [[[388, 1], 2]], 'hecke_orbit_code': 81065136957163272, 'p': 79}
  • id: 2220072
    {'charpoly_factorization': [[[197136, 0, 1], 1]], 'hecke_orbit_code': 81065136957163272, 'p': 83}
  • id: 2220073
    {'charpoly_factorization': [[[-820, 1], 2]], 'hecke_orbit_code': 81065136957163272, 'p': 89}
  • id: 2220074
    {'charpoly_factorization': [[[586756, 0, 1], 1]], 'hecke_orbit_code': 81065136957163272, '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': 6, 'hecke_orbit': 19, 'label': '1800.4.f.s', 'level': 1800, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 246245000
    {'hecke_orbit_code': 81065136957163272, 'n': 1, 'trace_an': 2}
  • id: 246245001
    {'hecke_orbit_code': 81065136957163272, 'n': 2, 'trace_an': 0}
  • id: 246245002
    {'hecke_orbit_code': 81065136957163272, 'n': 3, 'trace_an': 0}
  • id: 246245003
    {'hecke_orbit_code': 81065136957163272, 'n': 4, 'trace_an': 0}
  • id: 246245004
    {'hecke_orbit_code': 81065136957163272, 'n': 5, 'trace_an': 0}
  • id: 246245005
    {'hecke_orbit_code': 81065136957163272, 'n': 6, 'trace_an': 0}
  • id: 246245006
    {'hecke_orbit_code': 81065136957163272, 'n': 7, 'trace_an': 0}
  • id: 246245007
    {'hecke_orbit_code': 81065136957163272, 'n': 8, 'trace_an': 0}
  • id: 246245008
    {'hecke_orbit_code': 81065136957163272, 'n': 9, 'trace_an': 0}
  • id: 246245009
    {'hecke_orbit_code': 81065136957163272, 'n': 10, 'trace_an': 0}
  • id: 246245010
    {'hecke_orbit_code': 81065136957163272, 'n': 11, 'trace_an': 68}
  • id: 246245011
    {'hecke_orbit_code': 81065136957163272, 'n': 12, 'trace_an': 0}
  • id: 246245012
    {'hecke_orbit_code': 81065136957163272, 'n': 13, 'trace_an': 0}
  • id: 246245013
    {'hecke_orbit_code': 81065136957163272, 'n': 14, 'trace_an': 0}
  • id: 246245014
    {'hecke_orbit_code': 81065136957163272, 'n': 15, 'trace_an': 0}
  • id: 246245015
    {'hecke_orbit_code': 81065136957163272, 'n': 16, 'trace_an': 0}
  • id: 246245016
    {'hecke_orbit_code': 81065136957163272, 'n': 17, 'trace_an': 0}
  • id: 246245017
    {'hecke_orbit_code': 81065136957163272, 'n': 18, 'trace_an': 0}
  • id: 246245018
    {'hecke_orbit_code': 81065136957163272, 'n': 19, 'trace_an': -328}
  • id: 246245019
    {'hecke_orbit_code': 81065136957163272, 'n': 20, 'trace_an': 0}
  • id: 246245020
    {'hecke_orbit_code': 81065136957163272, 'n': 21, 'trace_an': 0}
  • id: 246245021
    {'hecke_orbit_code': 81065136957163272, 'n': 22, 'trace_an': 0}
  • id: 246245022
    {'hecke_orbit_code': 81065136957163272, 'n': 23, 'trace_an': 0}
  • id: 246245023
    {'hecke_orbit_code': 81065136957163272, 'n': 24, 'trace_an': 0}
  • id: 246245024
    {'hecke_orbit_code': 81065136957163272, 'n': 25, 'trace_an': 0}
  • id: 246245025
    {'hecke_orbit_code': 81065136957163272, 'n': 26, 'trace_an': 0}
  • id: 246245026
    {'hecke_orbit_code': 81065136957163272, 'n': 27, 'trace_an': 0}
  • id: 246245027
    {'hecke_orbit_code': 81065136957163272, 'n': 28, 'trace_an': 0}
  • id: 246245028
    {'hecke_orbit_code': 81065136957163272, 'n': 29, 'trace_an': -292}
  • id: 246245029
    {'hecke_orbit_code': 81065136957163272, 'n': 30, 'trace_an': 0}
  • id: 246245030
    {'hecke_orbit_code': 81065136957163272, 'n': 31, 'trace_an': 200}
  • id: 246245031
    {'hecke_orbit_code': 81065136957163272, 'n': 32, 'trace_an': 0}
  • id: 246245032
    {'hecke_orbit_code': 81065136957163272, 'n': 33, 'trace_an': 0}
  • id: 246245033
    {'hecke_orbit_code': 81065136957163272, 'n': 34, 'trace_an': 0}
  • id: 246245034
    {'hecke_orbit_code': 81065136957163272, 'n': 35, 'trace_an': 0}
  • id: 246245035
    {'hecke_orbit_code': 81065136957163272, 'n': 36, 'trace_an': 0}
  • id: 246245036
    {'hecke_orbit_code': 81065136957163272, 'n': 37, 'trace_an': 0}
  • id: 246245037
    {'hecke_orbit_code': 81065136957163272, 'n': 38, 'trace_an': 0}
  • id: 246245038
    {'hecke_orbit_code': 81065136957163272, 'n': 39, 'trace_an': 0}
  • id: 246245039
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  • id: 246245983
    {'hecke_orbit_code': 81065136957163272, 'n': 984, 'trace_an': 0}
  • id: 246245984
    {'hecke_orbit_code': 81065136957163272, 'n': 985, 'trace_an': 0}
  • id: 246245985
    {'hecke_orbit_code': 81065136957163272, 'n': 986, 'trace_an': 0}
  • id: 246245986
    {'hecke_orbit_code': 81065136957163272, 'n': 987, 'trace_an': 0}
  • id: 246245987
    {'hecke_orbit_code': 81065136957163272, 'n': 988, 'trace_an': 0}
  • id: 246245988
    {'hecke_orbit_code': 81065136957163272, 'n': 989, 'trace_an': -11520}
  • id: 246245989
    {'hecke_orbit_code': 81065136957163272, 'n': 990, 'trace_an': 0}
  • id: 246245990
    {'hecke_orbit_code': 81065136957163272, 'n': 991, 'trace_an': -66496}
  • id: 246245991
    {'hecke_orbit_code': 81065136957163272, 'n': 992, 'trace_an': 0}
  • id: 246245992
    {'hecke_orbit_code': 81065136957163272, 'n': 993, 'trace_an': 0}
  • id: 246245993
    {'hecke_orbit_code': 81065136957163272, 'n': 994, 'trace_an': 0}
  • id: 246245994
    {'hecke_orbit_code': 81065136957163272, 'n': 995, 'trace_an': 0}
  • id: 246245995
    {'hecke_orbit_code': 81065136957163272, 'n': 996, 'trace_an': 0}
  • id: 246245996
    {'hecke_orbit_code': 81065136957163272, 'n': 997, 'trace_an': 0}
  • id: 246245997
    {'hecke_orbit_code': 81065136957163272, 'n': 998, 'trace_an': 0}
  • id: 246245998
    {'hecke_orbit_code': 81065136957163272, 'n': 999, 'trace_an': 0}
  • id: 246245999
    {'hecke_orbit_code': 81065136957163272, 'n': 1000, 'trace_an': 0}