Newform data - 3528.3.f.i

Formats: - HTML - YAML - JSON - 2024-05-05T14:43:02.066665

• 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': 31752, 'analytic_conductor': 96.13103726631275, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 7, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 2, 'char_parity': -1, 'char_values': [3528, 2, [2647, 1765, 785, 1081], [2, 2, 2, 1]], 'cm_discs': [], 'conrey_index': 2449, 'conrey_indexes': [2449], 'dim': 16, 'field_disc': 38368808820382241173958339189538816, 'field_disc_factorization': [[2, 24], [3, 8], [768373, 4]], 'field_poly': [1148023744, -403737152, 523977616, -239083824, 98362220, -4777608, 241286, 289492, 623931, -83714, 37625, -366, 1960, -118, 81, -2, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [30976, 0, 20600, 0, 3185, 0, 118, 0, 1]], [11, [192876544, 0, -9972384, 0, 140489, 0, -666, 0, 1]]], 'hecke_orbit': 9, 'hecke_orbit_code': 36029140666682824, 'hecke_ring_generator_nbound': 29, 'hecke_ring_index': 67108864, 'hecke_ring_index_factorization': [[2, 26]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 7, 2, -1, 2, 0], [1, 1, 21, 3, 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': '3528.3.f.i', 'level': 3528, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'minimal_twist': '504.3.by.d', 'prim_orbit_index': 2, 'qexp_display': 'q-\\beta _{1}q^{5}+(-\\beta _{5}-\\beta _{7})q^{11}+(-\\beta _{2}+\\cdots)q^{13}+\\cdots', 'related_objects': [], 'relative_dim': 16, 'rm_discs': [], 'sato_tate_group': '2.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3528.3.f', 'trace_display': [0, 0, 0, 0], 'trace_hash': 37120663540697433, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.041', 'prec': 17}, {'__RealLiteral__': 0, 'data': '11.888', 'prec': 20}, {'__RealLiteral__': 0, 'data': '29.772', 'prec': 20}, {'__RealLiteral__': 0, 'data': '1802.896', 'prec': 27}, {'__RealLiteral__': 0, 'data': '14550.511', 'prec': 30}, {'__RealLiteral__': 0, 'data': '505064.875', 'prec': 34}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.764', 'prec': 17}, 'traces': [16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 448, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 488, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 728, 0, 0, 0, 0, 0, -264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1048, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1104, 0, 0, 0, 0, 0, -360, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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0, 0, 0, 0, -16016, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10672, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14984, 0, 0, 0, 0, 0, -1024, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16520, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6216, 0, 0, 0, 0, 0, 19152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -14560, 0, 0, 0, 0, 0, 19224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -15120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8752, 0, 0, 0, 0, 0, -5424, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14992, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15520, 0, 0, 0, 0, 0, -21176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8584, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -9392, 0, 0, 0, 0, 0, -10688, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20760, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -20256, 0, 0, 0, 0, 0, -21320], 'weight': 3, '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

  
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• 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': 31752, 'analytic_conductor': 96.13103726631275, 'char_conductor': 7, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 2, 'char_parity': -1, 'char_values': [3528, 2, [2647, 1765, 785, 1081], [2, 2, 2, 1]], 'conrey_index': 2449, 'cusp_dim': 1280, 'dim': 100, 'eis_dim': 128, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 11], 'hecke_orbit_code': 343647718856, 'hecke_orbit_dims': [4, 8, 8, 8, 8, 8, 12, 12, 16, 16], 'label': '3528.3.f', 'level': 3528, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'mf_dim': 1408, 'mf_new_dim': 100, 'num_forms': 10, 'prim_orbit_index': 2, 'relative_dim': 100, 'sturm_bound': 2016, 'trace_bound': 23, 'trace_display': [0, 0, 0, 0], 'traces': [100, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, -556, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -408, 0, 48, 0, 0, 0, -368, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, -384, 0, 0, 0, 232, 0, 0, 0, 0, 0, 0, 0, 1452, 0, 0, 0, 0, 0, 336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -432, 0, -568, 0, 0, 0, -432, 0, 0, 0, 0, 0, 0, 0, -1312, 0, 0, 0, 0, 0, -2276, 0, 0, 0, 0, 0, 0, 0, 0, 0, 152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1528, 0, 944, 0, 0, 0, 848, 0, 0, 0, 0, 0, 0, 0, 784, 0, 0, 0, 0, 0, -1120, 0, 0, 0, 0, 0, 0, 0, 0, 0, -368, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1600, 0, 608, 0, 0, 0, -2216, 0, 0, 0, 0, 0, 0, 0, 1128, 0, 0, 0, 0, 0, -632, 0, 0, 0, 0, 0, 0, 0, 0, 0, 688, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2992, 0, 736, 0, 0, 0, 936, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 1800, 0, 0, 0, 0, 0, 0, 0, 0, 0, -752, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1696, 0, -1944, 0, 0, 0, -448, 0, 0, 0, 0, 0, 0, 0, -2576, 0, 0, 0, 0, 0, -808, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1248, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3080, 0, -2604, 0, 0, 0, 2056, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3344, 0, -680, 0, 0, 0, -4600, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4088, 0, 1008, 0, 0, 0, 4344, 0, 0, 0, 0, 0, 0, 0, 2712, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1856, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6832, 0, -2096, 0, 0, 0, -1032, 0, 0, 0, 0, 0, 0, 0, 576, 0, 0, 0, 0, 0, -2536, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2904, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4992, 0, 364, 0, 0, 0, 3120, 0, 0, 0, 0, 0, 0, 0, 2704, 0, 0, 0, 0, 0, 4472, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2248, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1000, 0, -4696, 0, 0, 0, -5680, 0, 0, 0, 0, 0, 0, 0, -6824, 0, 0, 0, 0, 0, -4256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3296, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2440, 0, 1104, 0, 0, 0, -1528, 0, 0, 0, 0, 0, 0, 0, 3492, 0, 0, 0, 0, 0, 912, 0, 0, 0, 0, 0, 0, 0, 0, 0, 824, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5272, 0, 200, 0, 0, 0, 2832, 0, 0, 0, 0, 0, 0, 0, -3848, 0, 0, 0, 0, 0, 888, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3656, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4880, 0, 2904, 0, 0, 0, 3136, 0, 0, 0, 0, 0, 0, 0, 2856, 0, 0, 0, 0, 0, -1048, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2968, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4296, 0, 4296, 0, 0, 0, -9568, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6712, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6392, 0, -3520, 0, 0, 0, 5128, 0, 0, 0, 0, 0, 0, 0, 3712, 0, 0, 0, 0, 0, 3408, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2352, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5480, 0, 1728, 0, 0, 0, 480, 0, 0, 0, 0, 0, 0, 0, -4856, 0, 0, 0, 0, 0, 2756, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3440, 0, 1336, 0, 0, 0, 1992, 0, 0, 0, 0, 0, 0, 0, 2784, 0, 0, 0, 0, 0, -1728, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1992, 0, 10256, 0, 0, 0, -4384, 0, 0, 0, 0, 0, 0, 0, 664, 0, 0, 0, 0, 0, -4616, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5088, 0, 10792, 0, 0, 0, 2368, 0, 0, 0, 0, 0, 0, 0, -1516, 0, 0, 0, 0, 0, 1088, 0, 0, 0, 0, 0, 0, 0, 0, 0, 592, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3824, 0, -976, 0, 0, 0, 10688, 0, 0, 0, 0, 0, 0, 0, 4008, 0, 0, 0, 0, 0, 832, 0, 0, 0, 0, 0, 0, 0, 0, 0, -10304, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3488, 0, -6696, 0, 0, 0, 5752, 0, 0, 0, 0, 0, 0, 0, 4680, 0, 0, 0, 0, 0, -760, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6520, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6368, 0, -12128, 0, 0, 0, -11552, 0, 0, 0, 0, 0, 0, 0, -5216, 0, 0, 0, 0, 0, 4048, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7680, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9376, 0, -4928, 0, 0, 0, 2088, 0, 0, 0, 0, 0, 0, 0, -13664, 0, 0, 0, 0, 0, 13744, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1696, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5296, 0, -408, 0, 0, 0, 9360, 0, 0, 0, 0, 0, 0, 0, -2168, 0, 0, 0, 0, 0, -1856, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3544, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2656, 0, 11104, 0, 0, 0, -5248, 0, 0, 0, 0, 0, 0, 0, 7232, 0, 0, 0, 0, 0, -1888, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3888, 0, 11720, 0, 0, 0, -5376, 0, 0, 0, 0, 0, 0, 0, 11752, 0, 0, 0, 0, 0, 4256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9544, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4728, 0, -5792, 0, 0, 0, 2208, 0, 0, 0, 0, 0, 0, 0, -5872, 0, 0, 0, 0, 0, 5888, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10576, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3920, 0, -15048, 0, 0, 0, -1984, 0, 0, 0, 0, 0, 0, 0, -11080, 0, 0, 0, 0, 0, 1888, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5992, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -664, 0, 5916, 0, 0, 0, -3472, 0, 0, 0, 0, 0, 0, 0, -17488, 0, 0, 0, 0, 0, -12024, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2592, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5536, 0, 11680, 0, 0, 0, -7440, 0, 0, 0, 0, 0, 0, 0, -8616, 0, 0, 0, 0, 0, -10104, 0, 0, 0, 0, 0, 0, 0, 0, 0, -560, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1120, 0, 13896, 0, 0, 0, -9712, 0, 0, 0, 0, 0, 0, 0, 17552, 0, 0, 0, 0, 0, 11312, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1440, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7328, 0, -6792, 0, 0, 0, 23504, 0, 0, 0, 0, 0, 0, 0, -2864, 0, 0, 0, 0, 0, 7192, 0, 0, 0, 0, 0, 0, 0, 0, 0, -10736, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5280, 0, -10248, 0, 0, 0, 1840, 0, 0, 0, 0, 0, 0, 0, 1656, 0, 0, 0, 0, 0, -1192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9576, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 11248, 0, -584, 0, 0, 0, -9624, 0, 0, 0, 0, 0, 0, 0, 8864, 0, 0, 0, 0, 0, 7736, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8632, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4056, 0, 760, 0, 0, 0, 1248, 0, 0, 0, 0, 0, 0, 0, -12624, 0, 0, 0, 0, 0, 3024, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3464, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4944, 0, 14144, 0, 0, 0, 25760, 0, 0, 0, 0, 0, 0, 0, 11680, 0, 0, 0, 0, 0, -964, 0, 0, 0, 0, 0, 0, 0, 0, 0, -9960, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -9032, 0, 392, 0, 0, 0, 3016, 0, 0, 0, 0, 0, 0, 0, 10864, 0, 0, 0, 0, 0, -27616, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2272, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14096, 0, 16648, 0, 0, 0, -4024, 0, 0, 0, 0, 0, 0, 0, 19224, 0, 0, 0, 0, 0, 2224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6544, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -13920, 0, -18496, 0, 0, 0, -6120, 0, 0, 0, 0, 0, 0, 0, -13240, 0, 0, 0, 0, 0, 7360, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3952, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17656, 0, -15592, 0, 0, 0, 16952, 0, 0, 0, 0, 0, 0, 0, -7048, 0, 0, 0, 0, 0, 7484, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4344, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -14600, 0, -7744, 0, 0, 0, -16272, 0, 0, 0, 0, 0, 0, 0, -16920, 0, 0, 0, 0, 0, -26120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6544, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7528, 0, 29312, 0, 0, 0, -15472, 0, 0, 0, 0, 0, 0, 0, -3128, 0, 0, 0, 0, 0, -4048, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21640, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5296, 0, 22376, 0, 0, 0, -10856, 0, 0, 0, 0, 0, 0, 0, 7552, 0, 0, 0, 0, 0, -2464, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5608, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3008, 0, -8536, 0, 0, 0, 12688, 0, 0, 0, 0, 0, 0, 0, 18424, 0, 0, 0, 0, 0, -8520], 'weight': 3, '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: 1112969
    {'conductor': 7, 'degree': 2, 'multiplicity': 1, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 16, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '3528.3.f.i', 'source_level': 3528, 'target_char_orbit': 51, 'target_dim': 16, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '504.3.by.d', 'target_level': 504, 'twist_class_label': '504.3.by.d', 'twist_class_level': 504, 'twisting_char_label': '7.c', 'twisting_char_orbit': 3, 'weight': 3}
  • id: 1112970
    {'conductor': 7, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 16, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '3528.3.f.i', 'source_level': 3528, 'target_char_orbit': 51, 'target_dim': 16, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '504.3.by.d', 'target_level': 504, 'twist_class_label': '504.3.by.d', 'twist_class_level': 504, 'twisting_char_label': '7.d', 'twisting_char_orbit': 4, 'weight': 3}
  • id: 1112971
    {'conductor': 21, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 16, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '3528.3.f.i', 'source_level': 3528, 'target_char_orbit': 51, 'target_dim': 16, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '504.3.by.d', 'target_level': 504, 'twist_class_label': '504.3.by.d', 'twist_class_level': 504, 'twisting_char_label': '21.g', 'twisting_char_orbit': 7, 'weight': 3}
  • id: 1112972
    {'conductor': 21, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 16, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '3528.3.f.i', 'source_level': 3528, 'target_char_orbit': 51, 'target_dim': 16, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '504.3.by.d', 'target_level': 504, 'twist_class_label': '504.3.by.d', 'twist_class_level': 504, 'twisting_char_label': '21.h', 'twisting_char_orbit': 8, 'weight': 3}
  • id: 1112973
    {'conductor': 28, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 16, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '3528.3.f.i', 'source_level': 3528, 'target_char_orbit': 59, 'target_dim': 16, 'target_hecke_orbit': 17, 'target_is_minimal': False, 'target_label': '1008.3.cg.q', 'target_level': 1008, 'twist_class_label': '504.3.by.d', 'twist_class_level': 504, 'twisting_char_label': '28.f', 'twisting_char_orbit': 6, 'weight': 3}
  • id: 1112974
    {'conductor': 28, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 16, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '3528.3.f.i', 'source_level': 3528, 'target_char_orbit': 59, 'target_dim': 16, 'target_hecke_orbit': 17, 'target_is_minimal': False, 'target_label': '1008.3.cg.q', 'target_level': 1008, 'twist_class_label': '504.3.by.d', 'twist_class_level': 504, 'twisting_char_label': '28.g', 'twisting_char_orbit': 7, 'weight': 3}
  • id: 1112975
    {'conductor': 84, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 16, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '3528.3.f.i', 'source_level': 3528, 'target_char_orbit': 59, 'target_dim': 16, 'target_hecke_orbit': 17, 'target_is_minimal': False, 'target_label': '1008.3.cg.q', 'target_level': 1008, 'twist_class_label': '504.3.by.d', 'twist_class_level': 504, 'twisting_char_label': '84.j', 'twisting_char_orbit': 10, 'weight': 3}
  • id: 1112976
    {'conductor': 84, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 16, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '3528.3.f.i', 'source_level': 3528, 'target_char_orbit': 59, 'target_dim': 16, 'target_hecke_orbit': 17, 'target_is_minimal': False, 'target_label': '1008.3.cg.q', 'target_level': 1008, 'twist_class_label': '504.3.by.d', 'twist_class_level': 504, 'twisting_char_label': '84.n', 'twisting_char_orbit': 14, 'weight': 3}
  • id: 1112977
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 6, 'source_dim': 16, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '3528.3.f.i', 'source_level': 3528, 'target_char_orbit': 6, 'target_dim': 16, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '3528.3.f.i', 'target_level': 3528, 'twist_class_label': '504.3.by.d', 'twist_class_level': 504, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 3}
  • id: 1112978
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 16, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '3528.3.f.i', 'source_level': 3528, 'target_char_orbit': 6, 'target_dim': 16, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '3528.3.f.i', 'target_level': 3528, 'twist_class_label': '504.3.by.d', 'twist_class_level': 504, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 3}
  • id: 1112979
    {'conductor': 7, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 16, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '3528.3.f.i', 'source_level': 3528, 'target_char_orbit': 6, 'target_dim': 16, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '3528.3.f.i', 'target_level': 3528, 'twist_class_label': '504.3.by.d', 'twist_class_level': 504, 'twisting_char_label': '7.b', 'twisting_char_orbit': 2, 'weight': 3}
  • id: 1112980
    {'conductor': 21, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 16, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '3528.3.f.i', 'source_level': 3528, 'target_char_orbit': 6, 'target_dim': 16, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '3528.3.f.i', 'target_level': 3528, 'twist_class_label': '504.3.by.d', 'twist_class_level': 504, 'twisting_char_label': '21.c', 'twisting_char_orbit': 3, 'weight': 3}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3228200
    {'charpoly_factorization': [[[0, 1], 16]], 'hecke_orbit_code': 36029140666682824, 'p': 2}
  • id: 3228201
    {'charpoly_factorization': [[[0, 1], 16]], 'hecke_orbit_code': 36029140666682824, 'p': 3}
  • id: 3228202
    {'charpoly_factorization': [[[30976, 0, 20600, 0, 3185, 0, 118, 0, 1], 2]], 'hecke_orbit_code': 36029140666682824, 'p': 5}
  • id: 3228203
    {'charpoly_factorization': [[[0, 1], 16]], 'hecke_orbit_code': 36029140666682824, 'p': 7}
  • id: 3228204
    {'charpoly_factorization': [[[192876544, 0, -9972384, 0, 140489, 0, -666, 0, 1], 2]], 'hecke_orbit_code': 36029140666682824, 'p': 11}
  • id: 3228205
    {'charpoly_factorization': [[[63043600, 0, 7200248, 0, 165641, 0, 766, 0, 1], 2]], 'hecke_orbit_code': 36029140666682824, 'p': 13}
  • id: 3228206
    {'charpoly_factorization': [[[668532736, 0, 29857792, 0, 277760, 0, 920, 0, 1], 2]], 'hecke_orbit_code': 36029140666682824, 'p': 17}
  • id: 3228207
    {'charpoly_factorization': [[[2458624, 0, 1336256, 0, 36641, 0, 334, 0, 1], 2]], 'hecke_orbit_code': 36029140666682824, 'p': 19}
  • id: 3228208
    {'charpoly_factorization': [[[60366524416, 0, -922256000, 0, 3035088, 0, -3152, 0, 1], 2]], 'hecke_orbit_code': 36029140666682824, 'p': 23}
  • id: 3228209
    {'charpoly_factorization': [[[142968684544, 0, -1951118976, 0, 5692601, 0, -4554, 0, 1], 2]], 'hecke_orbit_code': 36029140666682824, 'p': 29}
  • id: 3228210
    {'charpoly_factorization': [[[74287318249, 0, 2278534820, 0, 6845054, 0, 4852, 0, 1], 2]], 'hecke_orbit_code': 36029140666682824, 'p': 31}
  • id: 3228211
    {'charpoly_factorization': [[[-460448, 68096, -2175, -34, 1], 4]], 'hecke_orbit_code': 36029140666682824, 'p': 37}
  • id: 3228212
    {'charpoly_factorization': [[[12478867111936, 0, 42693869056, 0, 35731472, 0, 10520, 0, 1], 2]], 'hecke_orbit_code': 36029140666682824, 'p': 41}
  • id: 3228213
    {'charpoly_factorization': [[[3352240, 123352, -5901, -20, 1], 4]], 'hecke_orbit_code': 36029140666682824, 'p': 43}
  • id: 3228214
    {'charpoly_factorization': [[[68829987475456, 0, 107449071488, 0, 58248272, 0, 12976, 0, 1], 2]], 'hecke_orbit_code': 36029140666682824, 'p': 47}
  • id: 3228215
    {'charpoly_factorization': [[[2730531514624, 0, -12832163496, 0, 16265129, 0, -7314, 0, 1], 2]], 'hecke_orbit_code': 36029140666682824, 'p': 53}
  • id: 3228216
    {'charpoly_factorization': [[[36185170176, 0, 31382687736, 0, 31425489, 0, 10038, 0, 1], 2]], 'hecke_orbit_code': 36029140666682824, 'p': 59}
  • id: 3228217
    {'charpoly_factorization': [[[2040555110400, 0, 8160832512, 0, 11043216, 0, 5784, 0, 1], 2]], 'hecke_orbit_code': 36029140666682824, 'p': 61}
  • id: 3228218
    {'charpoly_factorization': [[[-54752, 91616, -5533, 28, 1], 4]], 'hecke_orbit_code': 36029140666682824, 'p': 67}
  • id: 3228219
    {'charpoly_factorization': [[[21724401664, 0, -3426509440, 0, 11732688, 0, -6544, 0, 1], 2]], 'hecke_orbit_code': 36029140666682824, 'p': 71}
  • id: 3228220
    {'charpoly_factorization': [[[999648030976, 0, 160967785312, 0, 176238089, 0, 25766, 0, 1], 2]], 'hecke_orbit_code': 36029140666682824, 'p': 73}
  • id: 3228221
    {'charpoly_factorization': [[[-1759733, 245266, -8236, 14, 1], 4]], 'hecke_orbit_code': 36029140666682824, 'p': 79}
  • id: 3228222
    {'charpoly_factorization': [[[1728025927936, 0, 6939699448, 0, 9590417, 0, 5366, 0, 1], 2]], 'hecke_orbit_code': 36029140666682824, 'p': 83}
  • id: 3228223
    {'charpoly_factorization': [[[68068572135424, 0, 1204647147520, 0, 569608976, 0, 46136, 0, 1], 2]], 'hecke_orbit_code': 36029140666682824, 'p': 89}
  • id: 3228224
    {'charpoly_factorization': [[[14500783728640000, 0, 5965626040768, 0, 835741049, 0, 48470, 0, 1], 2]], 'hecke_orbit_code': 36029140666682824, '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': 9, 'label': '3528.3.f.i', 'level': 3528, 'portrait': 'data:image/png;base64,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', 'weight': 3}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 201900000
    {'hecke_orbit_code': 36029140666682824, 'n': 1, 'trace_an': 16}
  • id: 201900001
    {'hecke_orbit_code': 36029140666682824, 'n': 2, 'trace_an': 0}
  • id: 201900002
    {'hecke_orbit_code': 36029140666682824, 'n': 3, 'trace_an': 0}
  • id: 201900003
    {'hecke_orbit_code': 36029140666682824, 'n': 4, 'trace_an': 0}
  • id: 201900004
    {'hecke_orbit_code': 36029140666682824, 'n': 5, 'trace_an': 0}
  • id: 201900005
    {'hecke_orbit_code': 36029140666682824, 'n': 6, 'trace_an': 0}
  • id: 201900006
    {'hecke_orbit_code': 36029140666682824, 'n': 7, 'trace_an': 0}
  • id: 201900007
    {'hecke_orbit_code': 36029140666682824, 'n': 8, 'trace_an': 0}
  • id: 201900008
    {'hecke_orbit_code': 36029140666682824, 'n': 9, 'trace_an': 0}
  • id: 201900009
    {'hecke_orbit_code': 36029140666682824, 'n': 10, 'trace_an': 0}
  • id: 201900010
    {'hecke_orbit_code': 36029140666682824, 'n': 11, 'trace_an': 0}
  • id: 201900011
    {'hecke_orbit_code': 36029140666682824, 'n': 12, 'trace_an': 0}
  • id: 201900012
    {'hecke_orbit_code': 36029140666682824, 'n': 13, 'trace_an': 0}
  • id: 201900013
    {'hecke_orbit_code': 36029140666682824, 'n': 14, 'trace_an': 0}
  • id: 201900014
    {'hecke_orbit_code': 36029140666682824, 'n': 15, 'trace_an': 0}
  • id: 201900015
    {'hecke_orbit_code': 36029140666682824, 'n': 16, 'trace_an': 0}
  • id: 201900016
    {'hecke_orbit_code': 36029140666682824, 'n': 17, 'trace_an': 0}
  • id: 201900017
    {'hecke_orbit_code': 36029140666682824, 'n': 18, 'trace_an': 0}
  • id: 201900018
    {'hecke_orbit_code': 36029140666682824, 'n': 19, 'trace_an': 0}
  • id: 201900019
    {'hecke_orbit_code': 36029140666682824, 'n': 20, 'trace_an': 0}
  • id: 201900020
    {'hecke_orbit_code': 36029140666682824, 'n': 21, 'trace_an': 0}
  • id: 201900021
    {'hecke_orbit_code': 36029140666682824, 'n': 22, 'trace_an': 0}
  • id: 201900022
    {'hecke_orbit_code': 36029140666682824, 'n': 23, 'trace_an': 0}
  • id: 201900023
    {'hecke_orbit_code': 36029140666682824, 'n': 24, 'trace_an': 0}
  • id: 201900024
    {'hecke_orbit_code': 36029140666682824, 'n': 25, 'trace_an': -72}
  • id: 201900025
    {'hecke_orbit_code': 36029140666682824, 'n': 26, 'trace_an': 0}
  • id: 201900026
    {'hecke_orbit_code': 36029140666682824, 'n': 27, 'trace_an': 0}
  • id: 201900027
    {'hecke_orbit_code': 36029140666682824, 'n': 28, 'trace_an': 0}
  • id: 201900028
    {'hecke_orbit_code': 36029140666682824, 'n': 29, 'trace_an': 0}
  • id: 201900029
    {'hecke_orbit_code': 36029140666682824, 'n': 30, 'trace_an': 0}
  • id: 201900030
    {'hecke_orbit_code': 36029140666682824, 'n': 31, 'trace_an': 0}
  • id: 201900031
    {'hecke_orbit_code': 36029140666682824, 'n': 32, 'trace_an': 0}
  • id: 201900032
    {'hecke_orbit_code': 36029140666682824, 'n': 33, 'trace_an': 0}
  • id: 201900033
    {'hecke_orbit_code': 36029140666682824, 'n': 34, 'trace_an': 0}
  • id: 201900034
    {'hecke_orbit_code': 36029140666682824, 'n': 35, 'trace_an': 0}
  • id: 201900035
    {'hecke_orbit_code': 36029140666682824, 'n': 36, 'trace_an': 0}
  • id: 201900036
    {'hecke_orbit_code': 36029140666682824, 'n': 37, 'trace_an': 136}
  • id: 201900037
    {'hecke_orbit_code': 36029140666682824, 'n': 38, 'trace_an': 0}
  • id: 201900038
    {'hecke_orbit_code': 36029140666682824, 'n': 39, 'trace_an': 0}
  • id: 201900039
    {'hecke_orbit_code': 36029140666682824, 'n': 40, 'trace_an': 0}
  • id: 201900040
    {'hecke_orbit_code': 36029140666682824, 'n': 41, 'trace_an': 0}
  • id: 201900041
    {'hecke_orbit_code': 36029140666682824, 'n': 42, 'trace_an': 0}
  • id: 201900042
    {'hecke_orbit_code': 36029140666682824, 'n': 43, 'trace_an': 80}
  • id: 201900043
    {'hecke_orbit_code': 36029140666682824, 'n': 44, 'trace_an': 0}
  • id: 201900044
    {'hecke_orbit_code': 36029140666682824, 'n': 45, 'trace_an': 0}
  • id: 201900045
    {'hecke_orbit_code': 36029140666682824, 'n': 46, 'trace_an': 0}
  • id: 201900046
    {'hecke_orbit_code': 36029140666682824, 'n': 47, 'trace_an': 0}
  • id: 201900047
    {'hecke_orbit_code': 36029140666682824, 'n': 48, 'trace_an': 0}
  • id: 201900048
    {'hecke_orbit_code': 36029140666682824, 'n': 49, 'trace_an': 0}
  • id: 201900049
    {'hecke_orbit_code': 36029140666682824, 'n': 50, 'trace_an': 0}
  • id: 201900050
    {'hecke_orbit_code': 36029140666682824, 'n': 51, 'trace_an': 0}
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