Embedded newform data - 864.5.h.b.593.2

Formats: - HTML - YAML - JSON - 2025-09-04T12:55:42.641426

• 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': 21600, 'analytic_conductor': 89.3116481044415, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 24, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 8, 'char_orbit_label': 'h', 'char_order': 2, 'char_parity': -1, 'char_values': [864, 2, [703, 325, 353], [2, 1, 1]], 'cm_discs': [-24], 'conrey_index': 593, 'dim': 2, 'field_disc': 8, 'field_disc_factorization': [[2, 3]], 'field_poly': [-2, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': True, 'field_poly_root_of_unity': 8, 'has_non_self_twist': 0, 'hecke_cutters': [[5, [241, -46, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4504080747594592, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 12, 'hecke_ring_index_factorization': [[2, 2], [3, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 24, 8, -1, 2, -24]], 'is_cm': True, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': True, 'is_twist_minimal': False, 'label': '864.5.h.b', 'level': 864, 'level_is_powerful': True, '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], 'level_radical': 6, 'minimal_twist': '216.5.h.a', 'nf_label': '2.2.8.1', 'prim_orbit_index': 8, 'qexp_display': 'q+(23+\\beta )q^{5}+(1+5\\beta )q^{7}+(-71-10\\beta )q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '4.2.1.d2', 'self_twist_discs': [-24], 'self_twist_type': 1, 'space_label': '864.5.h', 'trace_display': [0, 0, 46, 2], 'trace_hash': 854725230064020694, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.009', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.862', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '15.815', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '184.535', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.502', 'prec': 17}, 'traces': [2, 0, 0, 0, 46, 0, 2, 0, 0, 0, -142, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, 1636, 0, -478, 0, 0, 0, 2926, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9600, 0, 0, 0, -3218, 0, -9026, 0, 0, 0, 13724, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8158, 0, 0, 0, -28942, 0, 18236, 0, 0, 0, 4178, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -17282, 0, 0, 0, -15698, 0, 42236, 0, 0, 0, -15502, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 38400, 0, 0, 0, 6578, 0, 20642, 0, 0, 0, 28178, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 37628, 0, 0, 0, -39698, 0, 43202, 0, 0, 0, 43726, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 57122, 0, 0, 0, 57742, 0, 132864, 0, 0, 0, -11182, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -9602, 0, 0, 0, 39982, 0, -38398, 0, 0, 0, 1636, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 273122, 0, 0, 0, 0, 0, 93116, 0, 0, 0, -33316, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 59524, 0, 0, 0, 226560, 0, 0, 0, 0, 0, -189796, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 61346, 0, 0, 0, 80356, 0, -143518, 0, 0, 0, -292224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 167042, 0, 0, 0, -45404, 0, 315652, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -84962, 0, 0, 0, 89422, 0, -116156, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -382076, 0, 0, 0, -513262, 0, 33598, 0, 0, 0, -229582, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 260642, 0, 0, 0, -13966, 0, 234722, 0, 0, 0, 673582, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -875906, 0, 0, 0, 266542, 0, 0, 0, 0, 0, 419428, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -180962, 0, 0, 0, 13724, 0, -289826, 0, 0, 0, -363556, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -73922, 0, 0, 0, 0, 0, -308158, 0, 0, 0, 770204, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 136798, 0, 0, 0, 144142, 0, -366238, 0, 0, 0, -34222, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -616366, 0, -933124, 0, 0, 0, -261262, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -744094, 0, 0, 0, -501938, 0, -999842, 0, 0, 0, 971428, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 559682, 0, 0, 0, 0, 0, 138814, 0, 0, 0, -739200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18236, 0, 0, 0, -214898, 0, 0, 0, 0, 0, -527662, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1163516, 0, 0, 0, -1925422, 0, -1125122, 0, 0, 0, 74738, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -712802, 0, 0, 0, 1701120, 0, 407996, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 271294, 0, 0, 0, 0, 0, 736322, 0, 0, 0, 1203406, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -974404, 0, 0, 0, -159218, 0, 72094, 0, 0, 0, -335662, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 869758, 0, 0, 0, 1790116, 0, -1111682, 0, 0, 0, -1693156, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 980302, 0, 0, 0, 0, 0, -1930898, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 42236, 0, 0, 0, 314112, 0, 1045442, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -328414, 0, 0, 0, 2461298, 0, 837602, 0, 0, 0, 564526, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 439678, 0, 0, 0, 273316, 0, 2425344, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -404018, 0, 0, 0, 0, 0, 1436782, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1798364, 0, -1133758, 0, 0, 0, -2044516, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -76314, 0, 0, 0, 1313806, 0, 4128000, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1791746, 0, 0, 0, -1294756, 0, 0, 0, 0, 0, 1806578, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3663842, 0, 0, 0, 0, 0, -2111906, 0, 0, 0, -391004, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3562562, 0, 0, 0, -2851822, 0, -1250878, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -464162, 0, 0, 0, 1586062, 0, 0, 0, 0, 0, -87982, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3465600, 0, 0, 0, -2392366, 0, 1777922, 0, 0, 0, 1839218, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1035934, 0, 0, 0, 0, 0, -54238, 0, 0, 0, -2919314, 0, 0, 0, 0, 0], 'weight': 5, '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

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.5988225099390856, 0.0], [0.0, 0.0], [1.7520982396405245, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.989302706485714, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.5562334182879176, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.9726516052318668, 0.0], [0.0, 0.0], [1.4289318013583021, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [2.801294105161917, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [2.069848241351425, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.8469498917380306, 0.0], [0.0, 0.0], [-3.1805419462121054, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.9712726228095374, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.34916437642465736, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-3.485453770145751, 0.0], [0.0, 0.0], [1.4609838166960423, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.3472604211757417, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.6037638265938265, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.8757400478126947, 0.0], [0.0, 0.0], [1.9905740409086625, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.5977538617949464, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [2.9573252580313873, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.8893185099390857, 0.0], [0.0, 0.0], [1.9709071781774186, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.1679134519245464, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.555097280773094, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.11818741544505663, 0.0], [0.0, 0.0], [0.39287446832965794, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [2.2846083291794597, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.4211067196539844, 0.0], [0.0, 0.0], [2.7266738326520166, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.8799729112729437, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.8464931021439186, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.9694674052688782, 0.0], [0.0, 0.0], [-1.9996954449601447, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.7041811653102843, 0.0], [0.0, 0.0], [0.0, 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[0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.7590041295816405, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-3.1971580904249355, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0]], 'angles': [None, None, -0.10257244981769173, -0.0800850477621832, -0.4835316210522905, 0.0, 0.0, 0.0, 0.0, -0.16916841122975357, -0.1233348753587376, 0.0, 0.0, 0.0, 0.0, -0.18040508173407316, -0.027007807754433497, 0.0, 0.0, 0.0, -0.2779287360219921, -0.1196454213072962, -0.36763296755311775, 0.0, -0.39808385969100923, -0.4436024365614115, -0.015458011388564693, -0.2016939958864459, 0.0, 0.0, -0.027179465823975915, -0.2633778756206453, 0.0, 0.0, -0.25941053815568116, -0.21853140263205145, 0.0, 0.0, 0.0, -0.12422234429005688, -0.4445813387141758, 0.0, 0.0, -0.4372372715494427, -0.3305417411257449, -0.49722247140814246, 0.0, -0.17246625318320427, -0.27583870626060636, 0.0, 0.0, 0.0, -0.20876287908546984, -0.38573250421267613, 0.0, 0.0, -0.20522687553376462, -0.29920530375342214, 0.0, 0.0, 0.0, -0.27110535268400004, 0.0, 0.0, -0.15471474597261606, -0.34328018459135545, 0.0, -0.4090356540721705, -0.28452435117123054, 0.0, 0.0, 0.0, -0.2482897954381811, 0.0, 0.0, 0.0, -0.08813609519519916, 0.0, 0.0, -0.49237666588250806, -0.3366069621882554, 0.0, 0.0, -0.11491550660770176, -0.4358842503086827, -0.030945620165364802, 0.0, -0.030229493655332854, -0.3616013318089168, -0.2463167687065323, -0.0958332852185105, 0.0, -0.4711421226293342, -0.49219438413171834, 0.0, 0.0, -0.29340133442645905, 0.0, 0.0, 0.0, 0.0, -0.4729530454919106, -0.2398375176271852, 0.0, 0.0, -0.41914198576002243, -0.3993720698465478, 0.0, 0.0, -0.35930880229979956, -0.20535748780186838, 0.0, 0.0, 0.0, -0.2288439502686429, 0.0, 0.0, 0.0, -0.4465556912703372, -0.14648397804953758, 0.0, -0.21174954179013897, -0.03461902650858275, -0.4309654899489734, 0.0, -0.1780210675163986, 0.0, 0.0, -0.19028300331176687, 0.0, 0.0, 0.0, -0.04985945535847395, 0.0, 0.0, -0.35604543865244215, -0.2317603168423606, 0.0, -0.1348422479146158, 0.0, 0.0, -0.36621274563113076, -0.24116015660836207, -0.38433520036111535, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.45061604790915033, 0.0, -0.4592434708291426, -0.24004233063059646, -0.4244767978197308, 0.0, -0.21686538762926005, -0.13126244740292792, 0.0, 0.0, -0.4210621000510417, 0.0], 'char_orbit_index': 8, 'conrey_index': 593, 'dual_conrey_index': 593, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': 1.4142135623730951, 'hecke_orbit': 2, 'hecke_orbit_code': 4504080747594592, 'label': '864.5.h.b.593.2', 'level': 864, 'weight': 5}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 21600, 'analytic_conductor': 89.3116481044415, 'char_conductor': 24, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 8, 'char_orbit_label': 'h', 'char_order': 2, 'char_parity': -1, 'char_values': [864, 2, [703, 325, 353], [2, 1, 1]], 'conrey_index': 593, 'cusp_dim': 552, 'dim': 64, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 481120224096, 'hecke_orbit_dims': [2, 2, 14, 14, 32], 'label': '864.5.h', 'level': 864, 'level_is_powerful': True, '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], 'level_radical': 6, 'mf_dim': 600, 'mf_new_dim': 64, 'num_forms': 5, 'prim_orbit_index': 8, 'relative_dim': 64, 'sturm_bound': 720, 'trace_bound': 5, 'trace_display': [0, 0, 0, 0], 'traces': [64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8000, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20448, 0, 0, 0, 0, 0, -5888, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3680, 0, 0, 0, 0, 0, -60672, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3264, 0, 0, 0, 0, 0, -14464, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96544, 0, 0, 0, 0, 0, 50688, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28832, 0, 0, 0, 0, 0, 104192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -38752, 0, 0, 0, 0, 0, 139648, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 103456, 0, 0, 0, 0, 0, 59904, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21024, 0, 0, 0, 0, 0, 121600, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 65504, 0, 0, 0, 0, 0, -286976, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -74848, 0, 0, 0, 0, 0, 306944, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -485568, 0, 0, 0, 0, 0, 329216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 116576, 0, 0, 0, 0, 0, -313472, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -152544, 0, 0, 0, 0, 0, 822528, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -734752, 0, 0, 0, 0, 0, -83200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 37696, 0, 0, 0, 0, 0, -184064, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 215040, 0, 0, 0, 0, 0, -288640, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 801056, 0, 0, 0, 0, 0, -1089280, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 530720, 0, 0, 0, 0, 0, -653184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 875296, 0, 0, 0, 0, 0, -1143680, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1275168, 0, 0, 0, 0, 0, -532736, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -725952, 0, 0, 0, 0, 0, -338816, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 575872, 0, 0, 0, 0, 0, -2475136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -936608, 0, 0, 0, 0, 0, -821504, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2680000, 0, 0, 0, 0, 0, 2323584, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1150624, 0, 0, 0, 0, 0, -19968, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1312000, 0, 0, 0, 0, 0, 1455104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 349184, 0, 0, 0, 0, 0, -214528, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2727872, 0, 0, 0, 0, 0, 141184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -22336, 0, 0, 0, 0, 0, 2931968, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1899872, 0, 0, 0, 0, 0, 5199232, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2426016, 0, 0, 0, 0, 0, 6599936, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2388960, 0, 0, 0, 0, 0, -2375808, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 191744, 0, 0, 0, 0, 0, -2782592, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 238336, 0, 0, 0, 0, 0, 113792, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2818688, 0, 0, 0, 0, 0, 2743680, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1459264, 0, 0, 0, 0, 0, 3497600, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 472736, 0, 0, 0, 0, 0, -3207808, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1572928, 0, 0, 0, 0, 0, -7042432, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2382336, 0, 0, 0, 0, 0, -11293568, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -588608, 0, 0, 0, 0, 0, -11161472, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'weight': 5, '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: 35697102
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 593, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4504080747594592, 'source_is_minimal': False, 'source_label': '864.5.h.b.593.2', 'source_level': 864, 'target_conrey_index': 593, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4504080747594592, 'target_is_minimal': False, 'target_label': '864.5.h.b.593.2', 'target_level': 864, 'twist_class_label': '216.5.h.a.53.1', 'twist_class_level': 216, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 5}
  • id: 35697103
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 593, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4504080747594592, 'source_is_minimal': False, 'source_label': '864.5.h.b.593.2', 'source_level': 864, 'target_conrey_index': 593, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 481120224096, 'target_is_minimal': False, 'target_label': '864.5.h.a.593.1', 'target_level': 864, 'twist_class_label': '216.5.h.a.53.1', 'twist_class_level': 216, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 5}
  • id: 35697104
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 593, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4504080747594592, 'source_is_minimal': False, 'source_label': '864.5.h.b.593.2', 'source_level': 864, 'target_conrey_index': 53, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4504080747593944, 'target_is_minimal': True, 'target_label': '216.5.h.b.53.2', 'target_level': 216, 'twist_class_label': '216.5.h.a.53.1', 'twist_class_level': 216, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 5}
  • id: 35697105
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 593, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4504080747594592, 'source_is_minimal': False, 'source_label': '864.5.h.b.593.2', 'source_level': 864, 'target_conrey_index': 53, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 481120223448, 'target_is_minimal': True, 'target_label': '216.5.h.a.53.1', 'target_level': 216, 'twist_class_label': '216.5.h.a.53.1', 'twist_class_level': 216, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 5}
  • id: 35697106
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 593, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4504080747594592, 'source_is_minimal': False, 'source_label': '864.5.h.b.593.2', 'source_level': 864, 'target_conrey_index': 593, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 481120224096, 'target_is_minimal': False, 'target_label': '864.5.h.a.593.1', 'target_level': 864, 'twist_class_label': '216.5.h.a.53.1', 'twist_class_level': 216, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 5}
  • id: 35697107
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 593, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4504080747594592, 'source_is_minimal': False, 'source_label': '864.5.h.b.593.2', 'source_level': 864, 'target_conrey_index': 53, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 481120223448, 'target_is_minimal': True, 'target_label': '216.5.h.a.53.1', 'target_level': 216, 'twist_class_label': '216.5.h.a.53.1', 'twist_class_level': 216, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 5}
  • id: 35697108
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 593, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4504080747594592, 'source_is_minimal': False, 'source_label': '864.5.h.b.593.2', 'source_level': 864, 'target_conrey_index': 593, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4504080747594592, 'target_is_minimal': False, 'target_label': '864.5.h.b.593.2', 'target_level': 864, 'twist_class_label': '216.5.h.a.53.1', 'twist_class_level': 216, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 5}
  • id: 35697109
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 593, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4504080747594592, 'source_is_minimal': False, 'source_label': '864.5.h.b.593.2', 'source_level': 864, 'target_conrey_index': 53, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4504080747593944, 'target_is_minimal': True, 'target_label': '216.5.h.b.53.2', 'target_level': 216, 'twist_class_label': '216.5.h.a.53.1', 'twist_class_level': 216, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 5}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1425350
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4504080747594592, 'p': 2}
  • id: 1425351
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4504080747594592, 'p': 3}
  • id: 1425352
    {'charpoly_factorization': [[[241, -46, 1], 1]], 'hecke_orbit_code': 4504080747594592, 'p': 5}
  • id: 1425353
    {'charpoly_factorization': [[[-7199, -2, 1], 1]], 'hecke_orbit_code': 4504080747594592, 'p': 7}
  • id: 1425354
    {'charpoly_factorization': [[[-23759, 142, 1], 1]], 'hecke_orbit_code': 4504080747594592, 'p': 11}
  • id: 1425355
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4504080747594592, 'p': 13}
  • id: 1425356
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4504080747594592, 'p': 17}
  • id: 1425357
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4504080747594592, 'p': 19}
  • id: 1425358
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4504080747594592, 'p': 23}
  • id: 1425359
    {'charpoly_factorization': [[[-818, 1], 2]], 'hecke_orbit_code': 4504080747594592, 'p': 29}
  • id: 1425360
    {'charpoly_factorization': [[[-2542079, 478, 1], 1]], 'hecke_orbit_code': 4504080747594592, 'p': 31}
  • id: 1425361
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4504080747594592, 'p': 37}
  • id: 1425362
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4504080747594592, 'p': 41}
  • id: 1425363
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4504080747594592, 'p': 43}
  • id: 1425364
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4504080747594592, 'p': 47}
  • id: 1425365
    {'charpoly_factorization': [[[-13315919, 3218, 1], 1]], 'hecke_orbit_code': 4504080747594592, 'p': 53}
  • id: 1425366
    {'charpoly_factorization': [[[-6862, 1], 2]], 'hecke_orbit_code': 4504080747594592, 'p': 59}
  • id: 1425367
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4504080747594592, 'p': 61}
  • id: 1425368
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4504080747594592, 'p': 67}
  • id: 1425369
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4504080747594592, 'p': 71}
  • id: 1425370
    {'charpoly_factorization': [[[-18641759, -8158, 1], 1]], 'hecke_orbit_code': 4504080747594592, 'p': 73}
  • id: 1425371
    {'charpoly_factorization': [[[-9118, 1], 2]], 'hecke_orbit_code': 4504080747594592, 'p': 79}
  • id: 1425372
    {'charpoly_factorization': [[[-124919279, -4178, 1], 1]], 'hecke_orbit_code': 4504080747594592, 'p': 83}
  • id: 1425373
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4504080747594592, 'p': 89}
  • id: 1425374
    {'charpoly_factorization': [[[33079681, 17282, 1], 1]], 'hecke_orbit_code': 4504080747594592, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 8, 'hecke_orbit': 2, 'label': '864.5.h.b', 'level': 864, 'portrait': 'data:image/png;base64,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', 'weight': 5}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 23167603
    {'hecke_orbit_code': 4504080747594592, 'n': 1, 'trace_an': 2}
  • id: 23167604
    {'hecke_orbit_code': 4504080747594592, 'n': 2, 'trace_an': 0}
  • id: 23167605
    {'hecke_orbit_code': 4504080747594592, 'n': 3, 'trace_an': 0}
  • id: 23167606
    {'hecke_orbit_code': 4504080747594592, 'n': 4, 'trace_an': 0}
  • id: 23167607
    {'hecke_orbit_code': 4504080747594592, 'n': 5, 'trace_an': 46}
  • id: 23167608
    {'hecke_orbit_code': 4504080747594592, 'n': 6, 'trace_an': 0}
  • id: 23167609
    {'hecke_orbit_code': 4504080747594592, 'n': 7, 'trace_an': 2}
  • id: 23167610
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  • id: 23167812
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  • id: 23167813
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  • id: 23167814
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  • id: 23167817
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  • id: 23167818
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  • id: 23167820
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  • id: 23167822
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  • id: 23167823
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  • id: 23167826
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  • id: 23167827
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  • id: 23167828
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  • id: 23167829
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  • id: 23167834
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  • id: 23167847
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  • id: 23167848
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  • id: 23167860
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