Newform data - 336.8.a.p

Formats: - HTML - YAML - JSON - 2024-06-09T21:32:10.770157

• 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': 21504, 'analytic_conductor': 104.96136856266492, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, -1], [7, -1]], 'atkin_lehner_string': '---', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [336, 1, [127, 85, 113, 241], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 268, 'field_disc_factorization': [[2, 2], [67, 1]], 'field_poly': [-67, 0, 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': [[5, [-17008, 24, 1]]], 'hecke_orbit': 16, 'hecke_orbit_code': 67553994544775504, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 16, 'hecke_ring_index_factorization': [[2, 4]], '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': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '336.8.a.p', 'level': 336, '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': '21.8.a.c', 'nf_label': '2.2.268.1', 'prim_orbit_index': 1, 'qexp_display': 'q+3^{3}q^{3}+(-12+\\beta )q^{5}+7^{3}q^{7}+3^{6}q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '7.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '336.8.a', 'trace_display': [0, 54, -24, 686], 'trace_hash': 264332103952205746, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.939', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.429', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '64.593', 'prec': 20}], 'trace_zratio': 0, 'traces': [2, 0, 54, 0, -24, 0, 686, 0, 1458, 0, -2124, 0, -1084, 0, -648, 0, -29256, 0, 25816, 0, 18522, 0, -68316, 0, -121658, 0, 39366, 0, 211308, 0, -435840, 0, -57348, 0, -8232, 0, -28428, 0, -29268, 0, 749760, 0, -397096, 0, -17496, 0, -840168, 0, 235298, 0, -789912, 0, -246684, 0, 1226128, 0, 697032, 0, -2199504, 0, -1951108, 0, 500094, 0, -1221936, 0, -1532048, 0, -1844532, 0, -2024004, 0, -1709028, 0, -3284766, 0, -728532, 0, -1048168, 0, 1062882, 0, 4894296, 0, -5514912, 0, 5705316, 0, -60864, 0, -371812, 0, -11767680, 0, -5043744, 0, -26046852, 0, -1548396, 0, 2339616, 0, 7308512, 0, -222264, 0, -5708460, 0, 3367980, 0, -767556, 0, 25405140, 0, 716880, 0, -790236, 0, -10034808, 0, 5303746, 0, 20243520, 0, 2511600, 0, 5079192, 0, -10721592, 0, -68447448, 0, 8854888, 0, -472392, 0, -38278884, 0, 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• 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], [0, 0], [27, 0], [0, 0], [-12, 1], [0, 0], [343, 0], [0, 0], [729, 0], [0, 0], [-1062, 35], [0, 0], [-542, -36], [0, 0], [-324, 27], [0, 0], [-14628, -171], [0, 0], [12908, -138], [0, 0], [9261, 0], [0, 0], [-34158, -3], [0, 0], [-60829, -24], [0, 0], [19683, 0], [0, 0], [105654, -758], [0, 0], [-217920, 474], [0, 0], [-28674, 945], [0, 0], [-4116, 343], [0, 0], [-14214, 252], [0, 0], [-14634, -972], [0, 0], [374880, -865], [0, 0], [-198548, 2544], [0, 0], [-8748, 729], [0, 0], [-420084, -5094], [0, 0], [117649, 0], [0, 0], [-394956, -4617], [0, 0], [-123342, 4032], [0, 0], [613064, -1482], [0, 0], [348516, -3726], [0, 0], [-1099752, -9522], [0, 0], [-975554, 5106], [0, 0], [250047, 0], [0, 0], [-610968, -110], [0, 0], [-766024, 26646], [0, 0], [-922266, -81], [0, 0], [-1012002, 16995], [0, 0], [-854514, -25914], [0, 0], [-1642383, -648], [0, 0], [-364266, 12005], [0, 0], [-524084, 39714], [0, 0], [531441, 0], [0, 0], [2447148, -27588], [0, 0], [-2757456, -12576], [0, 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7659899109], [-1032710474940, -4207960194], [-829772661738, -9417967530], [-162438532802, -4875340290], [-1270784287170, 10567216591], [-1544778933636, -3454603052], [413303859530, -7895952012], [90132548496, 1640286963], [-740580984114, -1954180327], [-110129702298, -1962088026], [-4846338108, 16024293360], [1015478812116, 12507901386]], 'char_orbit_index': 1, 'field_poly': [-67, 0, 1], 'hecke_orbit_code': 67553994544775504, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1], 'hecke_ring_inverse_denominators': [1, 16], 'hecke_ring_inverse_numerators': [[1, 0], [0, 1]], 'hecke_ring_numerators': [[1, 0], [0, 16]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 2, 'label': '336.8.a.p', 'level': 336, 'maxp': 2999, 'weight': 8}
• mf_newspaces •

  Column	Type
  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_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': [6, 5, 5, 6, 5, 5, 6, 4], 'Nk2': 21504, 'analytic_conductor': 104.96136856266492, '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': [336, 1, [127, 85, 113, 241], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 436, 'dim': 42, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 134218064, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3], 'label': '336.8.a', 'level': 336, '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': 460, 'mf_new_dim': 42, 'num_forms': 23, 'plus_dim': 23, 'prim_orbit_index': 1, 'relative_dim': 42, 'sturm_bound': 512, 'trace_bound': 5, 'trace_display': [0, 0, 556, -686], 'traces': [42, 0, 0, 0, 556, 0, 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3363588504, 0, 17611328856, 0, -31684618848, 0, 14196517056, 0, -3818502300, 0, 8510754728, 0, 8045291088, 0, -19412695876, 0, 13569321508, 0, -2703645216, 0, 60159203308, 0, 21565129424, 0, -2292356808, 0, 40321827248, 0, 28257055980, 0, 43577667360, 0, 12733999060, 0, -6345159360, 0, -3492236592, 0, -3628591512, 0, 14097739738, 0, -30177023904, 0, -12692085592, 0, -8118911000, 0, 12160071216, 0, -32951456528, 0, -1542143092, 0, 1929094380, 0, -4633306940, 0, -37789152200, 0, 9067377168, 0, -36018980040, 0, 11985987312, 0, 6621466824, 0, -3596240476, 0, 35412367088, 0, -4893966540, 0, -7850478348, 0, -5280503844, 0, 21881909592, 0, 3384745952, 0, 23646611080, 0, -14337460080, 0, -23848687144, 0, -26636854276, 0, -4104456624, 0, -12271235444, 0, -17289443220, 0, 23299516296, 0, 37034696668, 0, -41758785784, 0, 8684010648, 0, 21380522712, 0, -11387148352, 0, 4342816296, 0, -24166283088, 0, 41545589840, 0, -31658277816, 0, 7673485316, 0, 6550867344, 0, -21222809136, 0, 17190756632, 0, 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32912635392, 0, -342123292, 0, 24634198640, 0, 2961740376, 0, 20110882216, 0, 40439923670, 0, 19912561992, 0, 104574232916, 0, -36037849974, 0, -43998248304, 0, 75421832424, 0, -33799216100, 0, 28864212624, 0, -100924637196, 0, -136062740872, 0, -11183287248, 0, 34099442356, 0, -7228742320, 0, 20728702224, 0, -105110563504, 0, -92137812352, 0, 4880745396, 0, 14925784944, 0, -7205507428, 0, -73953920916, 0, 64861871620, 0, -137481373640, 0, 16063100928, 0, 184440799720, 0, 22786916880, 0, 639854964, 0, -33503529056, 0, -55214724280, 0, -46634616432, 0, 21456950896, 0, -62521653656, 0, -11781029232, 0, -129401257192, 0, 80679705624, 0, -11569127940, 0, 119369745596, 0, -47140013344, 0, -32031407880, 0, 1573837664, 0, -109313853616, 0, 26656882704, 0, -141326208568, 0, -25199782852, 0, -27313781256, 0, 77076439668, 0, 7127647016, 0, 43667900064, 0, -140198727200, 0, -39831229740, 0, 58091666832, 0, 221169245100, 0, 193138995656, 0, 0, 0, 83058832324, 0, 74115744888, 0, -122825698272, 0, -107625471964, 0, 116230641864, 0, -70944855696, 0, -43978553108, 0, 66630833322, 0, 25495034148, 0, -59505424632, 0, -510082568, 0, 120267393840, 0, -285084883472, 0, -9421150816, 0, -85179180744, 0, 37282829732, 0, -12305836920, 0, 33656200812, 0, -10522402400, 0, -5923194312, 0, 23076115272, 0, 113615483760, 0, -306651203264, 0, -44290930464, 0, -229074430688, 0, 46678022396, 0, 0, 0], 'weight': 8, '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: 258425
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 16, 'source_is_minimal': False, 'source_label': '336.8.a.p', 'source_level': 336, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '21.8.a.c', 'target_level': 21, 'twist_class_label': '21.8.a.c', 'twist_class_level': 21, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 8}
  • id: 258426
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 16, 'source_is_minimal': False, 'source_label': '336.8.a.p', 'source_level': 336, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '63.8.a.c', 'target_level': 63, 'twist_class_label': '21.8.a.c', 'twist_class_level': 21, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 8}
  • id: 258427
    {'conductor': 28, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 16, 'source_is_minimal': False, 'source_label': '336.8.a.p', 'source_level': 336, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '147.8.a.d', 'target_level': 147, 'twist_class_label': '21.8.a.c', 'twist_class_level': 21, 'twisting_char_label': '28.d', 'twisting_char_orbit': 4, 'weight': 8}
  • id: 258428
    {'conductor': 28, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 16, 'source_is_minimal': False, 'source_label': '336.8.a.p', 'source_level': 336, 'target_char_orbit': 5, 'target_dim': 4, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '147.8.e.e', 'target_level': 147, 'twist_class_label': '21.8.a.c', 'twist_class_level': 21, 'twisting_char_label': '28.f', 'twisting_char_orbit': 6, 'weight': 8}
  • id: 258429
    {'conductor': 28, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 16, 'source_is_minimal': False, 'source_label': '336.8.a.p', 'source_level': 336, 'target_char_orbit': 5, 'target_dim': 4, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '147.8.e.f', 'target_level': 147, 'twist_class_label': '21.8.a.c', 'twist_class_level': 21, 'twisting_char_label': '28.g', 'twisting_char_orbit': 7, 'weight': 8}
  • id: 258430
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 16, 'source_is_minimal': False, 'source_label': '336.8.a.p', 'source_level': 336, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 16, 'target_is_minimal': False, 'target_label': '336.8.a.p', 'target_level': 336, 'twist_class_label': '21.8.a.c', 'twist_class_level': 21, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 8}
  • id: 258431
    {'conductor': 84, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 16, 'source_is_minimal': False, 'source_label': '336.8.a.p', 'source_level': 336, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '441.8.a.h', 'target_level': 441, 'twist_class_label': '21.8.a.c', 'twist_class_level': 21, 'twisting_char_label': '84.h', 'twisting_char_orbit': 8, 'weight': 8}
  • id: 258432
    {'conductor': 20, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 16, 'source_is_minimal': False, 'source_label': '336.8.a.p', 'source_level': 336, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '525.8.a.d', 'target_level': 525, 'twist_class_label': '21.8.a.c', 'twist_class_level': 21, 'twisting_char_label': '20.d', 'twisting_char_orbit': 4, 'weight': 8}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 733200
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 67553994544775504, 'p': 2}
  • id: 733201
    {'charpoly_factorization': [[[-27, 1], 2]], 'hecke_orbit_code': 67553994544775504, 'p': 3}
  • id: 733202
    {'charpoly_factorization': [[[-17008, 24, 1], 1]], 'hecke_orbit_code': 67553994544775504, 'p': 5}
  • id: 733203
    {'charpoly_factorization': [[[-343, 1], 2]], 'hecke_orbit_code': 67553994544775504, 'p': 7}
  • id: 733204
    {'charpoly_factorization': [[[-19883356, 2124, 1], 1]], 'hecke_orbit_code': 67553994544775504, 'p': 11}
  • id: 733205
    {'charpoly_factorization': [[[-21935228, 1084, 1], 1]], 'hecke_orbit_code': 67553994544775504, 'p': 13}
  • id: 733206
    {'charpoly_factorization': [[[-287563248, 29256, 1], 1]], 'hecke_orbit_code': 67553994544775504, 'p': 17}
  • id: 733207
    {'charpoly_factorization': [[[-160026224, -25816, 1], 1]], 'hecke_orbit_code': 67553994544775504, 'p': 19}
  • id: 733208
    {'charpoly_factorization': [[[1166614596, 68316, 1], 1]], 'hecke_orbit_code': 67553994544775504, 'p': 23}
  • id: 733209
    {'charpoly_factorization': [[[1307845988, -211308, 1], 1]], 'hecke_orbit_code': 67553994544775504, 'p': 29}
  • id: 733210
    {'charpoly_factorization': [[[43635483648, 435840, 1], 1]], 'hecke_orbit_code': 67553994544775504, 'p': 31}
  • id: 733211
    {'charpoly_factorization': [[[-887182812, 28428, 1], 1]], 'hecke_orbit_code': 67553994544775504, 'p': 37}
  • id: 733212
    {'charpoly_factorization': [[[127701459200, -749760, 1], 1]], 'hecke_orbit_code': 67553994544775504, 'p': 41}
  • id: 733213
    {'charpoly_factorization': [[[-71585337968, 397096, 1], 1]], 'hecke_orbit_code': 67553994544775504, 'p': 43}
  • id: 733214
    {'charpoly_factorization': [[[-268603868016, 840168, 1], 1]], 'hecke_orbit_code': 67553994544775504, 'p': 47}
  • id: 733215
    {'charpoly_factorization': [[[-263627226684, 246684, 1], 1]], 'hecke_orbit_code': 67553994544775504, 'p': 53}
  • id: 733216
    {'charpoly_factorization': [[[-345691376064, 2199504, 1], 1]], 'hecke_orbit_code': 67553994544775504, 'p': 59}
  • id: 733217
    {'charpoly_factorization': [[[504531767044, 1951108, 1], 1]], 'hecke_orbit_code': 67553994544775504, 'p': 61}
  • id: 733218
    {'charpoly_factorization': [[[-11591287019456, 1532048, 1], 1]], 'hecke_orbit_code': 67553994544775504, 'p': 67}
  • id: 733219
    {'charpoly_factorization': [[[-3929864540796, 2024004, 1], 1]], 'hecke_orbit_code': 67553994544775504, 'p': 71}
  • id: 733220
    {'charpoly_factorization': [[[-10787980935996, 1709028, 1], 1]], 'hecke_orbit_code': 67553994544775504, 'p': 73}
  • id: 733221
    {'charpoly_factorization': [[[-26777501165936, 1048168, 1], 1]], 'hecke_orbit_code': 67553994544775504, 'p': 79}
  • id: 733222
    {'charpoly_factorization': [[[-7065815171184, -4894296, 1], 1]], 'hecke_orbit_code': 67553994544775504, 'p': 83}
  • id: 733223
    {'charpoly_factorization': [[[-6900412319488, 60864, 1], 1]], 'hecke_orbit_code': 67553994544775504, 'p': 89}
  • id: 733224
    {'charpoly_factorization': [[[164115180472068, 26046852, 1], 1]], 'hecke_orbit_code': 67553994544775504, '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': 16, 'label': '336.8.a.p', 'level': 336, '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: 61150363
    {'hecke_orbit_code': 67553994544775504, 'n': 1, 'trace_an': 2}
  • id: 61150364
    {'hecke_orbit_code': 67553994544775504, 'n': 2, 'trace_an': 0}
  • id: 61150365
    {'hecke_orbit_code': 67553994544775504, 'n': 3, 'trace_an': 54}
  • id: 61150366
    {'hecke_orbit_code': 67553994544775504, 'n': 4, 'trace_an': 0}
  • id: 61150367
    {'hecke_orbit_code': 67553994544775504, 'n': 5, 'trace_an': -24}
  • id: 61150368
    {'hecke_orbit_code': 67553994544775504, 'n': 6, 'trace_an': 0}
  • id: 61150369
    {'hecke_orbit_code': 67553994544775504, 'n': 7, 'trace_an': 686}
  • id: 61150370
    {'hecke_orbit_code': 67553994544775504, 'n': 8, 'trace_an': 0}
  • id: 61150371
    {'hecke_orbit_code': 67553994544775504, 'n': 9, 'trace_an': 1458}
  • id: 61150372
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