Embedded newform data - 1440.4.f.e.289.2

Formats: - HTML - YAML - JSON - 2025-04-05T02:35:23.768821

• 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': 23040, 'analytic_conductor': 84.96275040826649, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, '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': [1440, 2, [991, 901, 641, 577], [2, 2, 2, 1]], 'cm_discs': [-4], 'conrey_index': 289, '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, [0, 1]], [11, [0, 1]], [17, [10816, 0, 1]], [29, [-130, 1]]], 'hecke_orbit': 5, 'hecke_orbit_code': 18014742173975968, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 4, 2, -1, 2, -4], [1, 1, 5, 2, 1, 2, 0], [1, 1, 20, 4, -1, 2, 0]], 'is_cm': True, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': True, 'is_twist_minimal': False, 'label': '1440.4.f.e', 'level': 1440, '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, 5], 'level_radical': 30, 'minimal_twist': '160.4.c.a', 'nf_label': '2.0.4.1', 'prim_orbit_index': 2, 'qexp_display': 'q+(\\beta+11)q^{5}+46\\beta q^{13}-52\\beta q^{17}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '3.2.1.d2', 'self_twist_discs': [-4], 'self_twist_type': 1, 'space_label': '1440.4.f', 'trace_display': [0, 0, 22, 0], 'trace_hash': 2014378775403611848, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.019', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.862', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.235', 'prec': 17}, {'__RealLiteral__': 0, 'data': '21.763', 'prec': 20}, {'__RealLiteral__': 0, 'data': '2.749', 'prec': 17}, {'__RealLiteral__': 0, 'data': '284.871', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.759', 'prec': 17}, 'traces': [2, 0, 0, 0, 22, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 234, 0, 0, 0, 260, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -460, 0, 0, 0, 0, 0, 0, 0, 686, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1660, 0, 0, 0, -368, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 416, 0, 0, 0, 3340, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1196, 0, 0, 0, 0, 0, 0, 0, 3492, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2662, 0, 0, 0, 2398, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2860, 0, 0, 0, -7028, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12534, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7884, 0, 0, 0, -1584, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5060, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 19136, 0, 0, 0, 0, 0, 0, 0, 12780, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10620, 0, 0, 0, 7546, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2288, 0, 0, 0, 6812, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -14860, 0, 0, 0, 0, 0, 0, 0, -11806, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -18260, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8096, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18940, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -13718, 0, 0, 0, 2368, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 748, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4796, 0, 0, 0, 0, 0, 0, 0, -14292, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21780, 0, 0, 0, 9152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36740, 0, 0, 0, 32228, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4636, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72864, 0, 0, 0, -7264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -13156, 0, 0, 0, -28540, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -47476, 0, 0, 0, 0, 0, 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0, -46332, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -14978, 0, 0, 0, -137874, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8048, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -14300, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 118976, 0, 0, 0, 86724, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -34848, 0, 0, 0, 61732, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 62756, 0, 0, 0, 0, 0, 0, 0, 108928, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -59582, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -21616, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 127620, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -113476, 0, 0, 0, -53820, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 60940, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -81964, 0, 0, 0, 0, 0, 0, 0, -131612, 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, 210496, 0, 0, 0, -82700, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -50868, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 140580, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28352, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 68860, 0, 0, 0, 0, 0, 0, 0, -59800, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 110300, 0, 0, 0, 116820, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80262, 0, 0, 0, -169820, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -123136, 0, 0, 0, 0, 0, 0, 0, 170820, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -334144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32384, 0, 0, 0, 144620, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 140300, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 77260, 0, 0, 0, -50336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 74932, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -29636, 0, 0, 0, 0, 0, 0, 0, -212326, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 194580, 0, 0, 0, 5264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -163460, 0, 0, 0, 172700, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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-205876, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 215644, 0, 0, 0, 208340, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 51392, 0, 0, 0, -215800, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 510784, 0, 0, 0, 0, 0, 0, 0, 105340, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -70420, 0, 0, 0, -150898, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 52096, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 159014, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -215636, 0, 0, 0, 25488, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -47840, 0, 0, 0, -306748, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112420, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 276224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8228, 0, 0, 0, 266428, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -453024, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 50256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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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-0.28780545781773653, 0.0, -0.3032029317986324, 0.0, -0.47480110370169465, -0.25, 0.23011713308009324, 0.0, -0.340174933118244, -0.25, -0.15193092556649462, 0.0, -0.38863814201347263, -0.3341742295517686, -0.25, -0.25, -0.07575230767351934, 0.0, 0.0, 0.004826890604075126, -0.25, -0.11246444400663176, -0.270393236860685, -0.2683549846813817, 0.0, -0.25, -0.15928727454451053, -0.4642760251899253, -0.25, 0.0, -0.464696710007843, -0.25, 0.0, -0.25, -0.4091124333373801, -0.3872400059532152, -0.21367504853587735, -0.4358813294442569, 0.0, 0.058899163020085146, -0.1656277362050182, -0.25, -0.25625978052877524, 0.0, 0.0, -0.3306405264194755, -0.25, -0.3170586877652174, -0.4345557224835148, -0.25, 0.0, 0.0974114097953266, -0.27182702559327354, 0.0, 0.0, 0.0, -0.25, -0.25, -0.1582576091535815, -0.4302709551261539, -0.15854671697973902, 0.0, -0.45753974006745984, 0.0, -0.25, -0.438730172000897, 0.0, -0.25, 0.09128385536165279, -0.015178415750340237, -0.3643914164995274, -0.25, -0.41780252856873445, -0.25, 0.2053681246428734, -0.25, -0.17599450707899794, -0.25, -0.3510108617013222, 0.0, -0.44523910673954503, 0.0, -0.25, -0.47109808950902377, 0.2407215147242559, 0.0, -0.3445648101641139, -0.4256038033933975, 0.0, -0.30440712805820974, -0.25, -0.38644170950090384, 0.0, -0.25, -0.18028428229972843, 0.0, 0.06575459713540271, -0.13474282773256183, -0.32644714975370187, 0.22749643509444004, 0.0, -0.4727459339734703, -0.25, 0.12644600024703612, -0.04070970928212866, -0.25, -0.3993993313500603, -0.25, 0.0, -0.10729167966343729, -0.25, -0.26325950225995487, -0.11563914404937142, 0.0, 0.0, -0.25, -0.18410697747534618, 0.0, -0.2735711815951044, 0.0, -0.4742161828423574, -0.0516171373461857, -0.25, -0.09800249753248225, 0.0, 0.0, -0.0623014963446781, -0.3983294272718268, -0.25, 0.0, -0.25, 0.21238342951665615, -0.25, -0.25, -0.29527357232832235, 0.0, 0.0, -0.2398466436304469, 0.16302103874068183, -0.25, -0.25, 0.0, -0.25, 0.0, -0.22680092964422896, 0.047555761671690705, -0.25, 0.0, -0.25, -0.25, 0.0, 0.014178580579214325, -0.2380658651319613, 0.0, -0.28574294440682513, 0.0926159385857559, -0.25, -0.11984495492575503, 0.0, -0.3332240520413683, -0.48186746986877715, 0.0, 0.0, -0.429508132654487, -0.2838142042510694, 0.0464349816996983, -0.25, -0.23206420715598053, -0.3781354270735516, 0.0, -0.45085195417634283, -0.11690815057434029, 0.0, 0.084633330207661, -0.25, 0.18588504212423035, 0.0, 0.0, -0.19342521187967673, -0.28699157757336347, -0.25, 0.0, -0.25, 0.0, -0.36717340878553684, 0.0, -0.25, -0.3359508346708108, -0.3428903436298408, -0.25, -0.44187910007106695, -0.3050589567717292, 0.0, -0.4121734689280981, -0.25, 0.10667882316611776, -0.10909910886955704, -0.25, 0.009874788822819898, -0.25, 0.0, -0.3700599088394471, 0.0871852291007779, -0.25], 'char_orbit_index': 6, 'conrey_index': 289, 'dual_conrey_index': 289, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 1.0, 'embedding_root_real': 0.0, 'hecke_orbit': 5, 'hecke_orbit_code': 18014742173975968, 'label': '1440.4.f.e.289.2', 'level': 1440, 'weight': 4}
• 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

  
  {'Nk2': 23040, 'analytic_conductor': 84.96275040826649, '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': [1440, 2, [991, 901, 641, 577], [2, 2, 2, 1]], 'conrey_index': 289, 'cusp_dim': 832, 'dim': 90, 'eis_dim': 64, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11, 17, 29], 'hecke_orbit_code': 343664493984, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 4, 4, 4, 6, 6, 8, 8, 8, 16, 16], 'label': '1440.4.f', 'level': 1440, '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, 5], 'level_radical': 30, 'mf_dim': 896, 'mf_new_dim': 90, 'num_forms': 15, 'prim_orbit_index': 2, 'relative_dim': 90, 'sturm_bound': 1152, 'trace_bound': 25, 'trace_display': [0, 0, -2, 0], 'traces': [90, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 234, 0, 0, 0, -340, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -412, 0, 0, 0, 0, 0, 0, 0, -3698, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 156, 0, 0, 0, 688, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 376, 0, 0, 0, -284, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3772, 0, 0, 0, 0, 0, 0, 0, -1748, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6386, 0, 0, 0, 5062, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2420, 0, 0, 0, -4484, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12216, 0, 0, 0, 0, 0, 0, 0, -13278, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1388, 0, 0, 0, -1680, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12012, 0, 0, 0, 15840, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -14560, 0, 0, 0, 0, 0, 0, 0, 8908, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6540, 0, 0, 0, 17962, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2152, 0, 0, 0, -6580, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6268, 0, 0, 0, 0, 0, 0, 0, -41014, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8232, 0, 0, 0, -1244, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6528, 0, 0, 0, 5544, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -21984, 0, 0, 0, 0, 0, 0, 0, 1100, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28130, 0, 0, 0, 19936, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -22240, 0, 0, 0, 17212, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -26956, 0, 0, 0, 0, 0, 0, 0, 7844, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 45628, 0, 0, 0, 11552, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -7244, 0, 0, 0, -4876, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14348, 0, 0, 0, 0, 0, 0, 0, 45192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 37952, 0, 0, 0, 22112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -70596, 0, 0, 0, 80588, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -41404, 0, 0, 0, 0, 0, 0, 0, -11314, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16036, 0, 0, 0, -25884, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21880, 0, 0, 0, -34748, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -26952, 0, 0, 0, 0, 0, 0, 0, 32512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15348, 0, 0, 0, -80570, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -43670, 0, 0, 0, -12000, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23860, 0, 0, 0, 0, 0, 0, 0, 50400, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -66580, 0, 0, 0, 74592, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 118760, 0, 0, 0, 19168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -52340, 0, 0, 0, 0, 0, 0, 0, 54028, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 42424, 0, 0, 0, 19836, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -45508, 0, 0, 0, 22104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 104932, 0, 0, 0, 0, 0, 0, 0, 41844, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9856, 0, 0, 0, -46896, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 109832, 0, 0, 0, -159932, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 75836, 0, 0, 0, 0, 0, 0, 0, -146356, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 43638, 0, 0, 0, 27030, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 70024, 0, 0, 0, -79200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 46804, 0, 0, 0, 0, 0, 0, 0, 3800, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -138320, 0, 0, 0, 14292, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 194048, 0, 0, 0, 25204, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -99604, 0, 0, 0, 0, 0, 0, 0, -118144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 165082, 0, 0, 0, -11136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 34744, 0, 0, 0, 196056, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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: 44343281
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 289, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014742173975968, 'source_is_minimal': False, 'source_label': '1440.4.f.e.289.2', 'source_level': 1440, 'target_conrey_index': 289, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18014742173975968, 'target_is_minimal': False, 'target_label': '1440.4.f.e.289.2', 'target_level': 1440, 'twist_class_label': '160.4.c.a.129.1', 'twist_class_level': 160, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 44343282
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 289, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014742173975968, 'source_is_minimal': False, 'source_label': '1440.4.f.e.289.2', 'source_level': 1440, 'target_conrey_index': 129, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 137506062496, 'target_is_minimal': True, 'target_label': '160.4.c.a.129.1', 'target_level': 160, 'twist_class_label': '160.4.c.a.129.1', 'twist_class_level': 160, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 44343283
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 289, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014742173975968, 'source_is_minimal': False, 'source_label': '1440.4.f.e.289.2', 'source_level': 1440, 'target_conrey_index': 289, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18014742173975968, 'target_is_minimal': False, 'target_label': '1440.4.f.e.289.2', 'target_level': 1440, 'twist_class_label': '160.4.c.a.129.1', 'twist_class_level': 160, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 44343284
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 289, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014742173975968, 'source_is_minimal': False, 'source_label': '1440.4.f.e.289.2', 'source_level': 1440, 'target_conrey_index': 289, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014742173975968, 'target_is_minimal': False, 'target_label': '1440.4.f.e.289.1', 'target_level': 1440, 'twist_class_label': '160.4.c.a.129.1', 'twist_class_level': 160, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 4}
  • id: 44343285
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 289, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014742173975968, 'source_is_minimal': False, 'source_label': '1440.4.f.e.289.2', 'source_level': 1440, 'target_conrey_index': 129, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 137506062496, 'target_is_minimal': True, 'target_label': '160.4.c.a.129.1', 'target_level': 160, 'twist_class_label': '160.4.c.a.129.1', 'twist_class_level': 160, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 44343286
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 289, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014742173975968, 'source_is_minimal': False, 'source_label': '1440.4.f.e.289.2', 'source_level': 1440, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597831332640, 'target_is_minimal': False, 'target_label': '800.4.a.g.1.1', 'target_level': 800, 'twist_class_label': '160.4.c.a.129.1', 'twist_class_level': 160, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 44343287
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 289, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014742173975968, 'source_is_minimal': False, 'source_label': '1440.4.f.e.289.2', 'source_level': 1440, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398576591648, 'target_is_minimal': False, 'target_label': '800.4.a.e.1.1', 'target_level': 800, 'twist_class_label': '160.4.c.a.129.1', 'twist_class_level': 160, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 4}
  • id: 44343288
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 289, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014742173975968, 'source_is_minimal': False, 'source_label': '1440.4.f.e.289.2', 'source_level': 1440, 'target_conrey_index': 129, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 137506062496, 'target_is_minimal': True, 'target_label': '160.4.c.a.129.2', 'target_level': 160, 'twist_class_label': '160.4.c.a.129.1', 'twist_class_level': 160, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 4}
  • id: 44343289
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 289, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014742173975968, 'source_is_minimal': False, 'source_label': '1440.4.f.e.289.2', 'source_level': 1440, 'target_conrey_index': 289, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014742173975968, 'target_is_minimal': False, 'target_label': '1440.4.f.e.289.1', 'target_level': 1440, 'twist_class_label': '160.4.c.a.129.1', 'twist_class_level': 160, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 4}
  • id: 44343290
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 289, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014742173975968, 'source_is_minimal': False, 'source_label': '1440.4.f.e.289.2', 'source_level': 1440, 'target_conrey_index': 129, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18014536015544640, 'target_is_minimal': False, 'target_label': '320.4.c.e.129.2', 'target_level': 320, 'twist_class_label': '160.4.c.a.129.1', 'twist_class_level': 160, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 44343291
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 289, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014742173975968, 'source_is_minimal': False, 'source_label': '1440.4.f.e.289.2', 'source_level': 1440, 'target_conrey_index': 129, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18014536015544640, 'target_is_minimal': False, 'target_label': '320.4.c.e.129.2', 'target_level': 320, 'twist_class_label': '160.4.c.a.129.1', 'twist_class_level': 160, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 44343292
    {'conductor': 60, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 289, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014742173975968, 'source_is_minimal': False, 'source_label': '1440.4.f.e.289.2', 'source_level': 1440, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398576591648, 'target_is_minimal': False, 'target_label': '800.4.a.e.1.1', 'target_level': 800, 'twist_class_label': '160.4.c.a.129.1', 'twist_class_level': 160, 'twisting_char_label': '60.23', 'twisting_conrey_index': 23, 'weight': 4}
  • id: 44343293
    {'conductor': 60, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 289, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014742173975968, 'source_is_minimal': False, 'source_label': '1440.4.f.e.289.2', 'source_level': 1440, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597831332640, 'target_is_minimal': False, 'target_label': '800.4.a.g.1.1', 'target_level': 800, 'twist_class_label': '160.4.c.a.129.1', 'twist_class_level': 160, 'twisting_char_label': '60.47', 'twisting_conrey_index': 47, 'weight': 4}
  • id: 44343294
    {'conductor': 60, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 289, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014742173975968, 'source_is_minimal': False, 'source_label': '1440.4.f.e.289.2', 'source_level': 1440, 'target_conrey_index': 129, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 137506062496, 'target_is_minimal': True, 'target_label': '160.4.c.a.129.2', 'target_level': 160, 'twist_class_label': '160.4.c.a.129.1', 'twist_class_level': 160, 'twisting_char_label': '60.59', 'twisting_conrey_index': 59, 'weight': 4}
  • id: 44343295
    {'conductor': 120, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 289, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014742173975968, 'source_is_minimal': False, 'source_label': '1440.4.f.e.289.2', 'source_level': 1440, 'target_conrey_index': 129, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014536015544640, 'target_is_minimal': False, 'target_label': '320.4.c.e.129.1', 'target_level': 320, 'twist_class_label': '160.4.c.a.129.1', 'twist_class_level': 160, 'twisting_char_label': '120.29', 'twisting_conrey_index': 29, 'weight': 4}
  • id: 44343296
    {'conductor': 120, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 289, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014742173975968, 'source_is_minimal': False, 'source_label': '1440.4.f.e.289.2', 'source_level': 1440, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 121597190006113856, 'target_is_minimal': False, 'target_label': '1600.4.a.bb.1.1', 'target_level': 1600, 'twist_class_label': '160.4.c.a.129.1', 'twist_class_level': 160, 'twisting_char_label': '120.53', 'twisting_conrey_index': 53, 'weight': 4}
  • id: 44343297
    {'conductor': 120, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 289, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014742173975968, 'source_is_minimal': False, 'source_label': '1440.4.f.e.289.2', 'source_level': 1440, 'target_conrey_index': 129, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014536015544640, 'target_is_minimal': False, 'target_label': '320.4.c.e.129.1', 'target_level': 320, 'twist_class_label': '160.4.c.a.129.1', 'twist_class_level': 160, 'twisting_char_label': '120.59', 'twisting_conrey_index': 59, 'weight': 4}
  • id: 44343298
    {'conductor': 120, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 289, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014742173975968, 'source_is_minimal': False, 'source_label': '1440.4.f.e.289.2', 'source_level': 1440, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 112589990751372864, 'target_is_minimal': False, 'target_label': '1600.4.a.z.1.1', 'target_level': 1600, 'twist_class_label': '160.4.c.a.129.1', 'twist_class_level': 160, 'twisting_char_label': '120.77', 'twisting_conrey_index': 77, 'weight': 4}
  • id: 44343299
    {'conductor': 120, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 289, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014742173975968, 'source_is_minimal': False, 'source_label': '1440.4.f.e.289.2', 'source_level': 1440, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 121597190006113856, 'target_is_minimal': False, 'target_label': '1600.4.a.bb.1.1', 'target_level': 1600, 'twist_class_label': '160.4.c.a.129.1', 'twist_class_level': 160, 'twisting_char_label': '120.83', 'twisting_conrey_index': 83, 'weight': 4}
  • id: 44343300
    {'conductor': 120, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 289, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014742173975968, 'source_is_minimal': False, 'source_label': '1440.4.f.e.289.2', 'source_level': 1440, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 112589990751372864, 'target_is_minimal': False, 'target_label': '1600.4.a.z.1.1', 'target_level': 1600, 'twist_class_label': '160.4.c.a.129.1', 'twist_class_level': 160, 'twisting_char_label': '120.107', 'twisting_conrey_index': 107, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1950400
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 18014742173975968, 'p': 2}
  • id: 1950401
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 18014742173975968, 'p': 3}
  • id: 1950402
    {'charpoly_factorization': [[[125, -22, 1], 1]], 'hecke_orbit_code': 18014742173975968, 'p': 5}
  • id: 1950403
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 18014742173975968, 'p': 7}
  • id: 1950404
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 18014742173975968, 'p': 11}
  • id: 1950405
    {'charpoly_factorization': [[[8464, 0, 1], 1]], 'hecke_orbit_code': 18014742173975968, 'p': 13}
  • id: 1950406
    {'charpoly_factorization': [[[10816, 0, 1], 1]], 'hecke_orbit_code': 18014742173975968, 'p': 17}
  • id: 1950407
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 18014742173975968, 'p': 19}
  • id: 1950408
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 18014742173975968, 'p': 23}
  • id: 1950409
    {'charpoly_factorization': [[[-130, 1], 2]], 'hecke_orbit_code': 18014742173975968, 'p': 29}
  • id: 1950410
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 18014742173975968, 'p': 31}
  • id: 1950411
    {'charpoly_factorization': [[[156816, 0, 1], 1]], 'hecke_orbit_code': 18014742173975968, 'p': 37}
  • id: 1950412
    {'charpoly_factorization': [[[230, 1], 2]], 'hecke_orbit_code': 18014742173975968, 'p': 41}
  • id: 1950413
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 18014742173975968, 'p': 43}
  • id: 1950414
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 18014742173975968, 'p': 47}
  • id: 1950415
    {'charpoly_factorization': [[[327184, 0, 1], 1]], 'hecke_orbit_code': 18014742173975968, 'p': 53}
  • id: 1950416
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 18014742173975968, 'p': 59}
  • id: 1950417
    {'charpoly_factorization': [[[830, 1], 2]], 'hecke_orbit_code': 18014742173975968, 'p': 61}
  • id: 1950418
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 18014742173975968, 'p': 67}
  • id: 1950419
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 18014742173975968, 'p': 71}
  • id: 1950420
    {'charpoly_factorization': [[[350464, 0, 1], 1]], 'hecke_orbit_code': 18014742173975968, 'p': 73}
  • id: 1950421
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 18014742173975968, 'p': 79}
  • id: 1950422
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 18014742173975968, 'p': 83}
  • id: 1950423
    {'charpoly_factorization': [[[-1670, 1], 2]], 'hecke_orbit_code': 18014742173975968, 'p': 89}
  • id: 1950424
    {'charpoly_factorization': [[[3297856, 0, 1], 1]], 'hecke_orbit_code': 18014742173975968, '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': 5, 'label': '1440.4.f.e', 'level': 1440, 'portrait': 'data:image/png;base64,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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 41016559
    {'hecke_orbit_code': 18014742173975968, 'n': 1, 'trace_an': 2}
  • id: 41016560
    {'hecke_orbit_code': 18014742173975968, 'n': 2, 'trace_an': 0}
  • id: 41016561
    {'hecke_orbit_code': 18014742173975968, 'n': 3, 'trace_an': 0}
  • id: 41016562
    {'hecke_orbit_code': 18014742173975968, 'n': 4, 'trace_an': 0}
  • id: 41016563
    {'hecke_orbit_code': 18014742173975968, 'n': 5, 'trace_an': 22}
  • id: 41016564
    {'hecke_orbit_code': 18014742173975968, 'n': 6, 'trace_an': 0}
  • id: 41016565
    {'hecke_orbit_code': 18014742173975968, 'n': 7, 'trace_an': 0}
  • id: 41016566
    {'hecke_orbit_code': 18014742173975968, 'n': 8, 'trace_an': 0}
  • id: 41016567
    {'hecke_orbit_code': 18014742173975968, 'n': 9, 'trace_an': 0}
  • id: 41016568
    {'hecke_orbit_code': 18014742173975968, 'n': 10, 'trace_an': 0}
  • id: 41016569
    {'hecke_orbit_code': 18014742173975968, 'n': 11, 'trace_an': 0}
  • id: 41016570
    {'hecke_orbit_code': 18014742173975968, 'n': 12, 'trace_an': 0}
  • id: 41016571
    {'hecke_orbit_code': 18014742173975968, 'n': 13, 'trace_an': 0}
  • id: 41016572
    {'hecke_orbit_code': 18014742173975968, 'n': 14, 'trace_an': 0}
  • id: 41016573
    {'hecke_orbit_code': 18014742173975968, 'n': 15, 'trace_an': 0}
  • id: 41016574
    {'hecke_orbit_code': 18014742173975968, 'n': 16, 'trace_an': 0}
  • id: 41016575
    {'hecke_orbit_code': 18014742173975968, 'n': 17, 'trace_an': 0}
  • id: 41016576
    {'hecke_orbit_code': 18014742173975968, 'n': 18, 'trace_an': 0}
  • id: 41016577
    {'hecke_orbit_code': 18014742173975968, 'n': 19, 'trace_an': 0}
  • id: 41016578
    {'hecke_orbit_code': 18014742173975968, 'n': 20, 'trace_an': 0}
  • id: 41016579
    {'hecke_orbit_code': 18014742173975968, 'n': 21, 'trace_an': 0}
  • id: 41016580
    {'hecke_orbit_code': 18014742173975968, 'n': 22, 'trace_an': 0}
  • id: 41016581
    {'hecke_orbit_code': 18014742173975968, 'n': 23, 'trace_an': 0}
  • id: 41016582
    {'hecke_orbit_code': 18014742173975968, 'n': 24, 'trace_an': 0}
  • id: 41016583
    {'hecke_orbit_code': 18014742173975968, 'n': 25, 'trace_an': 234}
  • id: 41016584
    {'hecke_orbit_code': 18014742173975968, 'n': 26, 'trace_an': 0}
  • id: 41016585
    {'hecke_orbit_code': 18014742173975968, 'n': 27, 'trace_an': 0}
  • id: 41016586
    {'hecke_orbit_code': 18014742173975968, 'n': 28, 'trace_an': 0}
  • id: 41016587
    {'hecke_orbit_code': 18014742173975968, 'n': 29, 'trace_an': 260}
  • id: 41016588
    {'hecke_orbit_code': 18014742173975968, 'n': 30, 'trace_an': 0}
  • id: 41016589
    {'hecke_orbit_code': 18014742173975968, 'n': 31, 'trace_an': 0}
  • id: 41016590
    {'hecke_orbit_code': 18014742173975968, 'n': 32, 'trace_an': 0}
  • id: 41016591
    {'hecke_orbit_code': 18014742173975968, 'n': 33, 'trace_an': 0}
  • id: 41016592
    {'hecke_orbit_code': 18014742173975968, 'n': 34, 'trace_an': 0}
  • id: 41016593
    {'hecke_orbit_code': 18014742173975968, 'n': 35, 'trace_an': 0}
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  • id: 41016787
    {'hecke_orbit_code': 18014742173975968, 'n': 811, 'trace_an': 0}
  • id: 41016788
    {'hecke_orbit_code': 18014742173975968, 'n': 821, 'trace_an': -3700}
  • id: 41016789
    {'hecke_orbit_code': 18014742173975968, 'n': 823, 'trace_an': 0}
  • id: 41016790
    {'hecke_orbit_code': 18014742173975968, 'n': 827, 'trace_an': 0}
  • id: 41016791
    {'hecke_orbit_code': 18014742173975968, 'n': 829, 'trace_an': -46332}
  • id: 41016792
    {'hecke_orbit_code': 18014742173975968, 'n': 839, 'trace_an': 0}
  • id: 41016793
    {'hecke_orbit_code': 18014742173975968, 'n': 841, 'trace_an': -14978}
  • id: 41016794
    {'hecke_orbit_code': 18014742173975968, 'n': 853, 'trace_an': 0}
  • id: 41016795
    {'hecke_orbit_code': 18014742173975968, 'n': 857, 'trace_an': 0}
  • id: 41016796
    {'hecke_orbit_code': 18014742173975968, 'n': 859, 'trace_an': 0}
  • id: 41016797
    {'hecke_orbit_code': 18014742173975968, 'n': 863, 'trace_an': 0}
  • id: 41016798
    {'hecke_orbit_code': 18014742173975968, 'n': 877, 'trace_an': 0}
  • id: 41016799
    {'hecke_orbit_code': 18014742173975968, 'n': 881, 'trace_an': -14300}
  • id: 41016800
    {'hecke_orbit_code': 18014742173975968, 'n': 883, 'trace_an': 0}
  • id: 41016801
    {'hecke_orbit_code': 18014742173975968, 'n': 887, 'trace_an': 0}
  • id: 41016802
    {'hecke_orbit_code': 18014742173975968, 'n': 907, 'trace_an': 0}
  • id: 41016803
    {'hecke_orbit_code': 18014742173975968, 'n': 911, 'trace_an': 0}
  • id: 41016804
    {'hecke_orbit_code': 18014742173975968, 'n': 919, 'trace_an': 0}
  • id: 41016805
    {'hecke_orbit_code': 18014742173975968, 'n': 929, 'trace_an': 61732}
  • id: 41016806
    {'hecke_orbit_code': 18014742173975968, 'n': 937, 'trace_an': 0}
  • id: 41016807
    {'hecke_orbit_code': 18014742173975968, 'n': 941, 'trace_an': 62756}
  • id: 41016808
    {'hecke_orbit_code': 18014742173975968, 'n': 947, 'trace_an': 0}
  • id: 41016809
    {'hecke_orbit_code': 18014742173975968, 'n': 953, 'trace_an': 0}
  • id: 41016810
    {'hecke_orbit_code': 18014742173975968, 'n': 961, 'trace_an': -59582}
  • id: 41016811
    {'hecke_orbit_code': 18014742173975968, 'n': 967, 'trace_an': 0}
  • id: 41016812
    {'hecke_orbit_code': 18014742173975968, 'n': 971, 'trace_an': 0}
  • id: 41016813
    {'hecke_orbit_code': 18014742173975968, 'n': 977, 'trace_an': 0}
  • id: 41016814
    {'hecke_orbit_code': 18014742173975968, 'n': 983, 'trace_an': 0}
  • id: 41016815
    {'hecke_orbit_code': 18014742173975968, 'n': 991, 'trace_an': 0}
  • id: 41016816
    {'hecke_orbit_code': 18014742173975968, 'n': 997, 'trace_an': 0}